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Paper Citation Record · LEDGER

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions

As of 14 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 0 inbound Pith citation observations for arXiv:2608.07571.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.07571 v1

Coverage vector

measured 100 of 154 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:46.910258Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 154 outbound references displayed

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  • unresolved82
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Outbound references

Observation 76c44f35-a205-4078-957e-4ca6bc760265 · outbound

This paper cites Data- driven intelligent transportation systems: A survey,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Data- driven intelligent transportation systems: A survey,

Reference 1

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Observation e40f4150-b4cf-4e6f-a9f6-1b0e890b6231 · outbound

This paper cites Explainable ai for safe and trustworthy autonomous driving: A system- atic review,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Explainable ai for safe and trustworthy autonomous driving: A system- atic review,

Reference 2

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Observation 942acf3e-3b9d-41dd-8739-61d2f623c141 · outbound

This paper cites Navigation of a uav network for optimal surveillance of a group of ground targets moving along a road,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Navigation of a uav network for optimal surveillance of a group of ground targets moving along a road,

Reference 3

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This paper cites UA V-enabled intelligent transportation systems for the smart city: Applications and challenges,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions UA V-enabled intelligent transportation systems for the smart city: Applications and challenges,

Reference 4

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Observation 16ca1ba9-1ac5-46ba-b797-4ae87fe5651b · outbound

This paper cites Applications of unmanned aerial vehicle (uav) in road safety, traffic and highway infrastructure management: Recent advances and challenges,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Applications of unmanned aerial vehicle (uav) in road safety, traffic and highway infrastructure management: Recent advances and challenges,

Reference 5

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Observation dea74265-9b46-4a66-9866-8843d91101a6 · outbound

This paper cites A study on vehicle detection through aerial images: Various challenges, issues and applications,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A study on vehicle detection through aerial images: Various challenges, issues and applications,

Reference 6

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Observation cc6bca05-a89b-436d-b9b9-11824bffbf80 · outbound

This paper cites Advances of uavs toward future transportation: The state-of-the-art, challenges, and opportuni- ties,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Advances of uavs toward future transportation: The state-of-the-art, challenges, and opportuni- ties,

Reference 7

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Observation 0dd2fd62-1dcc-4ae9-a86b-7557c2702b41 · outbound

This paper cites Vehicle detection from uav imagery with deep learning: A review,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Vehicle detection from uav imagery with deep learning: A review,

Reference 8

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Observation ddb1ce2b-d01e-4a12-8a7a-3c8d961f3b8e · outbound

This paper cites Machine learning for UA V- aided ITS: A review with comparative study,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Machine learning for UA V- aided ITS: A review with comparative study,

Reference 9

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Observation 0a62ac90-d2fe-4a81-b06f-bbb012a64aa8 · outbound

This paper cites UA V video vehicle detection: Benchmark and baseline,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions UA V video vehicle detection: Benchmark and baseline,

Reference 10

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Observation d3fd58e4-1b0d-4746-ac5e-6506da8b8c4d · outbound

This paper cites A systematic review of drone based road traffic monitoring system,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A systematic review of drone based road traffic monitoring system,

Reference 11

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Observation 7275c70e-fe6c-4902-a202-14d5701d7e99 · outbound

This paper cites Unmanned aerial vehicle-aided intelligent transportation systems: Vision, challenges, and opportunities,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Unmanned aerial vehicle-aided intelligent transportation systems: Vision, challenges, and opportunities,

Reference 12

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Observation 7cd86da1-5858-4a95-a666-8fa9167f2029 · outbound

This paper cites Developing a more reliable framework for extracting traffic data from a uav video,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Developing a more reliable framework for extracting traffic data from a uav video,

Reference 13

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Observation 30a4494f-6371-4e7e-866e-55359f012844 · outbound

This paper cites Efficient joint deployment of multi-UA Vs for target tracking in traffic big data,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Efficient joint deployment of multi-UA Vs for target tracking in traffic big data,

Reference 14

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Observation d50e7cd9-feac-46cd-a46c-06bb0dc88c82 · outbound

This paper cites On-demand routing for urban V ANETs using cooperating UA Vs,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions On-demand routing for urban V ANETs using cooperating UA Vs,

Reference 15

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Observation 436819f8-34fe-4500-be93-8988b716251d · outbound

This paper cites You only look once: Unified, real-time object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions You only look once: Unified, real-time object detection,

Reference 16

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Observation b25a79c0-97af-443c-b7ef-ae83bd335b25 · outbound

This paper cites Combining monocular and stereo- vision for real-time vehicle ranging and tracking on multilane high- ways,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Combining monocular and stereo- vision for real-time vehicle ranging and tracking on multilane high- ways,

Reference 17

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Observation e41f840d-bae7-470d-83e6-6688a0e37df4 · outbound

This paper cites Urban traffic monitoring and analysis using unmanned aerial vehicles (uavs): A systematic literature review,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Urban traffic monitoring and analysis using unmanned aerial vehicles (uavs): A systematic literature review,

Reference 18

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Observation a3733f3b-3c7c-4bc3-af8c-7f80b7a0d0c2 · outbound

This paper cites A survey of deep learning techniques for vehicle detection from uav images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A survey of deep learning techniques for vehicle detection from uav images,

Reference 19

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Observation 2943e0a3-1cfe-4462-aa8b-416a16c42091 · outbound

This paper cites A review on deep learning in uav remote sensing,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A review on deep learning in uav remote sensing,

Reference 20

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Observation 3a6a9bc4-5b29-4f3a-89d6-5a1303911325 · outbound

This paper cites Uav assistance paradigm: State-of-the-art in applications and challenges,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Uav assistance paradigm: State-of-the-art in applications and challenges,

Reference 21

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Observation bdae9e75-46e2-4e55-aa01-38326b5aad5b · outbound

This paper cites A survey of unmanned aerial vehicles (uavs) for traffic monitoring,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A survey of unmanned aerial vehicles (uavs) for traffic monitoring,

Reference 22

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Observation 4f0639a8-f89b-4e6e-a35b-a109a940d2da · outbound

This paper cites Application of deep learning method for real-time traffic analysis using uav,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Application of deep learning method for real-time traffic analysis using uav,

Reference 23

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Observation d8562598-5c7a-4be8-ad46-934002df233d · outbound

This paper cites Analysis of the occlusion interference problem in target tracking,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Analysis of the occlusion interference problem in target tracking,

Reference 24

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Observation 99ca0f48-d196-4f89-8733-90f88aadd187 · outbound

This paper cites Performance analysis of vehicle detection algorithm in aerial traffic videos,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Performance analysis of vehicle detection algorithm in aerial traffic videos,

Reference 25

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Observation 3b6b11df-6fd9-465a-ab71-a5c7ea1828a3 · outbound

This paper cites Target detection and recognition for traffic congestion in smart cities using deep learning-enabled uavs: A review and analysis,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Target detection and recognition for traffic congestion in smart cities using deep learning-enabled uavs: A review and analysis,

Reference 26

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Observation 9aeb4aab-e05e-4d31-b267-ca2f7ffc5e85 · outbound

This paper cites A survey of object detection for uavs based on deep learning,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A survey of object detection for uavs based on deep learning,

Reference 27

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Observation 7fbcb142-8967-4d45-810d-bed0b3d48028 · outbound

This paper cites Deep learning for un- manned aerial vehicle-based object detection and tracking: A survey,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Deep learning for un- manned aerial vehicle-based object detection and tracking: A survey,

Reference 28

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Observation d1ac7352-9766-4ff3-a286-30b85721804d · outbound

This paper cites A comparison of deep learning-based object detection for unmanned aerial vehicle,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A comparison of deep learning-based object detection for unmanned aerial vehicle,

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Observation 42e28892-b3f2-442d-b0ff-82d1980d244c · outbound

This paper cites Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications

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Observation 81e6bacb-c0ee-4f7c-b33d-31d1f53d60a8 · outbound

This paper cites Deep residual learning for image recognition,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Deep residual learning for image recognition,

Reference 31

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Observation d7589367-3bf1-4a03-8c92-6c8cfa663371 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Very deep convolutional networks for large-scale image recognition,

Reference 32

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This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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Observation 28f06388-6f34-4d56-b231-2bbf394359d2 · outbound

This paper cites Edgenet: Balancing accuracy and performance for edge-based convolutional neural network object detectors,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Edgenet: Balancing accuracy and performance for edge-based convolutional neural network object detectors,

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This paper cites Dronet: Efficient convolutional neural network detector for real-time uav applications,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Dronet: Efficient convolutional neural network detector for real-time uav applications,

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Observation 2e842530-d50d-4d30-91ab-7f3eac9ee453 · outbound

This paper cites Feature pyramid networks for object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Feature pyramid networks for object detection,

Reference 36

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Observation 621bd5f9-af5c-4750-8e68-a7fec65afa21 · outbound

This paper cites Path aggregation network for instance segmentation,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Path aggregation network for instance segmentation,

Reference 37

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Observation d49803f5-cef2-4f3e-870d-4e42f2f182b3 · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Efficientdet: Scalable and efficient object detection,

Reference 38

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Observation 9ad0e858-3108-4c43-ab86-f879ad4bdae7 · outbound

This paper cites Ssd: Single shot multibox detector,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Ssd: Single shot multibox detector,

Reference 39

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Observation c5e0fd58-d488-4cbd-82c3-560bebb66148 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 40

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Observation 12c3aaf3-11c7-4a07-a03d-7b875212a670 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions YOLOX: Exceeding YOLO Series in 2021

Reference 41

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Observation 416ac159-1795-464f-a25b-b553167c93a9 · outbound

This paper cites Fcos: Fully convolutional one- stage object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Fcos: Fully convolutional one- stage object detection,

Reference 42

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Observation eabad4f4-20c9-4418-996f-a70a78fdec66 · outbound

This paper cites Efficient convnet- based object detection for unmanned aerial vehicles by selective tile processing,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Efficient convnet- based object detection for unmanned aerial vehicles by selective tile processing,

Reference 43

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source=pdf_text observed=2026-08-11T00:35:46.703482Z digest=sha256:46092389f63fc02401c241081786c6ef13245ad06b3f232e043c45a92cd90e12

Observation 495d3e19-d96b-4c3d-867a-e5e60728b451 · outbound

This paper cites Slicing aided hyper inference and fine-tuning for small object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Slicing aided hyper inference and fine-tuning for small object detection,

Reference 44

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source=pdf_text observed=2026-08-11T00:35:46.707119Z digest=sha256:b2c2d0659e855304ef4c241f2f876927d0666ad069a3cd72471eeb1eba34b6ca

Observation 2c4eb3b1-ebe9-4eda-a5e4-397f9f7c9983 · outbound

This paper cites Pc-yolo11s: a lightweight and effective feature extraction method for small target image detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Pc-yolo11s: a lightweight and effective feature extraction method for small target image detection,

Reference 45

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Observation 6780813a-6150-4001-ac44-0ba514655010 · outbound

This paper cites Lud-yolo: A novel lightweight object detection network for unmanned aerial vehicle,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Lud-yolo: A novel lightweight object detection network for unmanned aerial vehicle,

Reference 46

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Observation 04700470-97cd-4759-9a1f-f652d5f5ebea · outbound

This paper cites End-to-end object detection with transformers,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions End-to-end object detection with transformers,

Reference 47

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Observation 4fa0200e-016e-4f91-9c97-3d9aaf6150f5 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 48

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source=pdf_text observed=2026-08-11T00:35:46.720822Z digest=sha256:448e764d3271daec7e5fbaccd327abf2847a45bfa11de6cacc39449c22f47bd5

Observation 385d2283-7417-4acb-aca7-b0d6b02c21fd · outbound

This paper cites Detrs with collaborative hybrid assignments training,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Detrs with collaborative hybrid assignments training,

Reference 49

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Observation a330a743-607f-4954-bb0b-3cddaf4f364f · outbound

This paper cites Detrs beat yolos on real-time object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Detrs beat yolos on real-time object detection,

Reference 50

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source=pdf_text observed=2026-08-11T00:35:46.728014Z digest=sha256:82fd0e9e53a9b2a7eee0ad9d844edef9284e2f94283d6b4fc206e9e649d33309

Observation 6ef1f5fc-1906-4cea-a0e6-8c7123637113 · outbound

This paper cites Simple open-vocabulary object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Simple open-vocabulary object detection,

Reference 51

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source=pdf_text observed=2026-08-11T00:35:46.731578Z digest=sha256:7bbea15b839247b36b94c0f9a1a48d240c44be8e916b4ad08177a72b1d22305f

Observation d7f0237d-fb50-4630-b634-95e47e7f0b7b · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 52

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Observation 91c8dc7b-8c14-44a0-82a7-468b14e0d924 · outbound

This paper cites Transformers in vision: A survey,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Transformers in vision: A survey,

Reference 53

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source=pdf_text observed=2026-08-11T00:35:46.739232Z digest=sha256:62f4c6c3e756739f81e5b903e34662d5cdaecb2cb334c0e4709638f54d06ced1

Observation 65608d23-fefd-476b-b66d-d7dfc52d59f3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 54

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Observation f0be4139-5041-456f-8389-3f791c407b62 · outbound

This paper cites Rf- detr: Neural architecture search for real-time detection transformers,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Rf- detr: Neural architecture search for real-time detection transformers,

Reference 55

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Observation 8cdf9deb-6ccf-424c-9d8f-138544c283e5 · outbound

This paper cites Efficientformer: Vision transformers at mobilenet speed,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Efficientformer: Vision transformers at mobilenet speed,

Reference 56

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Observation c5f5f2ce-b129-4519-ae38-f6aae14f1e2b · outbound

This paper cites Benchmark analysis of representative deep neural network architectures,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Benchmark analysis of representative deep neural network architectures,

Reference 57

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Observation 289c6914-07d4-4829-b570-eca5c84afda0 · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Simple online and realtime tracking with a deep association metric,

Reference 58

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source=pdf_text observed=2026-08-11T00:35:46.756967Z digest=sha256:8b0e01b7dfbc6f89538aa6908fb94d689fdac8aff762cd0553e8536069f684bf

Observation 5ea1d38e-0178-4a8a-9f1a-db014ff747bc · outbound

This paper cites Strongsort: Make deepsort great again,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Strongsort: Make deepsort great again,

Reference 59

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Observation 81cc3c81-c8fe-4801-9f3b-bcc2c0fb66a0 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Bytetrack: Multi-object tracking by associating every detection box,

Reference 60

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source=pdf_text observed=2026-08-11T00:35:46.764329Z digest=sha256:8b4881ac60a4304bea944806bd7c879872f6f0773dc106e07a7c0fac33bc7a17

Observation 10408980-f2a6-49ec-afab-70bc692dd00d · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 61

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source=pdf_text observed=2026-08-11T00:35:46.767905Z digest=sha256:2a4c1e0c75f8d304572592696f7dcc762f90965a00b5a862c84dcdafc213e186

Observation 8c1db18a-c0b0-480f-b5de-ee2e6993d4c1 · outbound

This paper cites Comparison of cspdarknet53, cspresnext- 50, and efficientnet-b0 backbones on yolo v4 as object detector,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Comparison of cspdarknet53, cspresnext- 50, and efficientnet-b0 backbones on yolo v4 as object detector,

Reference 62

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source=pdf_text observed=2026-08-11T00:35:46.771320Z digest=sha256:9f2a5e646077372887384190e48cb04f82fd8650c497626df7df7f66341c244c

Observation ac8a1daa-2586-48f5-9759-a9a33be69dd7 · outbound

This paper cites Mobilenet-ca-yolo: An improved yolov7 based on the mobilenetv3 and attention mechanism for rice pests and diseases detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Mobilenet-ca-yolo: An improved yolov7 based on the mobilenetv3 and attention mechanism for rice pests and diseases detection,

Reference 63

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Observation f5581613-d6fc-4d57-9aa5-93851204a85d · outbound

This paper cites Squeeze-and-excitation networks,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Squeeze-and-excitation networks,

Reference 64

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source=pdf_text observed=2026-08-11T00:35:46.778464Z digest=sha256:caba9c44192b8037e2eb6ffd6d2be9af998337da2d54612297a15905be2f359c

Observation b9824be8-4d33-4516-a2cb-4045cd6d9c4b · outbound

This paper cites Cbam: Convolutional block attention module,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Cbam: Convolutional block attention module,

Reference 65

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Observation aed3efb5-c200-4b11-9e4a-c53bd617375a · outbound

This paper cites Fully convolutional one-stage 3d object detection on lidar range images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Fully convolutional one-stage 3d object detection on lidar range images,

Reference 66

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source=pdf_text observed=2026-08-11T00:35:46.785444Z digest=sha256:0c399aed0004069856230fe95f1a7543da34e4695c11794981378fc28e15c438

Observation a6b36a42-1605-4692-8602-693cd11dd5da · outbound

This paper cites Focal loss for dense object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Focal loss for dense object detection,

Reference 67

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Observation a1b053c0-b565-43ce-9b46-e833c5f4c011 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 68

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source=pdf_text observed=2026-08-11T00:35:46.792919Z digest=sha256:94d43e017e82cc8c50a8b4a588d24f2469860dac76a48e32822817d3bb44c4d8

Observation dce8d645-354b-4d42-af5f-b994495fff17 · outbound

This paper cites Vit-yolo: Transformer-based yolo for object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Vit-yolo: Transformer-based yolo for object detection,

Reference 69

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source=pdf_text observed=2026-08-11T00:35:46.796447Z digest=sha256:d10dde01ea4d04d4510f1eafd20f530f9773a29dc5e4b2d11480504405e73556

Observation 52c19b93-f911-4bdd-a30a-834c03dc8941 · outbound

This paper cites You only look one-level feature,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions You only look one-level feature,

Reference 70

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source=pdf_text observed=2026-08-11T00:35:46.800249Z digest=sha256:4aa414d15139b9821f06fb37fac5f39a1c17a56d607fcc43f8f335a09961370b

Observation 0c844dd0-2633-4e41-9e8e-375048f8884b · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 71

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source=pdf_text observed=2026-08-11T00:35:46.803830Z digest=sha256:607783da209dbde469e0e2ad93c57b66c307017b096d5f8fe0d84bc583aeedae

Observation 3ad0bfd0-6451-4d68-a68a-d3dc7c34ffc1 · outbound

This paper cites Drone-yolo: An efficient neural network method for target detection in drone images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Drone-yolo: An efficient neural network method for target detection in drone images,

Reference 72

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source=pdf_text observed=2026-08-11T00:35:46.807623Z digest=sha256:0f3b3bb219194791eef7435575823bf06238db23de36c8c7285c0afb30fe8dd8

Observation 2dcb2f13-70b6-4638-bafd-196961f43148 · outbound

This paper cites Repvgg: Mak- ing vgg-style convnets great again,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Repvgg: Mak- ing vgg-style convnets great again,

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.811148Z digest=sha256:196a3a57ab7aa1700297942d6afc9dbfcf34efbcc0addfa17c572fe6f4c2bbf0

Observation 592dfc61-ae39-42e5-9e76-697cc77ad175 · outbound

This paper cites Dau-yolo: A lightweight and effective method for small object detection in uav images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Dau-yolo: A lightweight and effective method for small object detection in uav images,

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.814739Z digest=sha256:e4da888460a7ca3c03840674c28f1dc8690ff55bb888866a94783e4fe6e808fa

Observation d4a5c3c2-3b53-47dc-8812-1268de617f12 · outbound

This paper cites Visdrone- det2019: The vision meets drone object detection in image challenge results,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Visdrone- det2019: The vision meets drone object detection in image challenge results,

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.818552Z digest=sha256:1f453e2f56f75fa2dd620130b0b407ee2f49f7f7a193c0fa9a94f4abceeff607

Observation 88697ce7-4258-4208-91be-437df7438ccd · outbound

This paper cites Aerial multi-vehicle detection dataset,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Aerial multi-vehicle detection dataset,

Reference 76

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no resolver link, observed 2026-08-11T00:35:46.822273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.822273Z digest=sha256:5a725daed9cd8db3a8afe9e761163d3595eeaa71241e202b12472337ca8938ed

Observation bc28ed4e-a587-4c1b-9cbd-47e8bd4b4f56 · outbound

This paper cites On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment,

Reference 77

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no resolver link, observed 2026-08-11T00:35:46.825964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.825964Z digest=sha256:da700dbc7bf0f04fed25c7e02b7b702dffccbf542da95b59737203e83dc05557

Observation e98057a0-844e-45f5-90a0-2741038fc792 · outbound

This paper cites A critical evaluation of the next generation simulation (ngsim) vehicle trajectory dataset,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions A critical evaluation of the next generation simulation (ngsim) vehicle trajectory dataset,

Reference 78

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no resolver link, observed 2026-08-11T00:35:46.829735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.829735Z digest=sha256:b8dc4cfc1e79b38760222dbb54a2aae4564d70e5cb18a340a44a791ba696ea59

Observation f696c015-d9ce-49e2-b76c-418c524a4ff5 · outbound

This paper cites Learning social etiquette: Human trajectory understanding in crowded scenes,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Learning social etiquette: Human trajectory understanding in crowded scenes,

Reference 79

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no resolver link, observed 2026-08-11T00:35:46.833242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.833242Z digest=sha256:5792c3bf31f8008d6d0531728fddf57819308afa4cca5c0c515f6443c622956c

Observation 7d228743-5404-4658-a9d8-15a953a746a5 · outbound

This paper cites Vsai: A multi- view dataset for vehicle detection in complex scenarios using aerial images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Vsai: A multi- view dataset for vehicle detection in complex scenarios using aerial images,

Reference 80

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unresolved
no resolver link, observed 2026-08-11T00:35:46.836859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.836859Z digest=sha256:ad5d6c3e49f128a58378fd2a098d4b529ae2a12c5c369f2eea26fd68a4eaf7c5

Observation 4a3d8453-0a5c-4d9c-9194-44da8f86b139 · outbound

This paper cites The monet dataset: Multimodal drone thermal dataset recorded in rural scenarios,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions The monet dataset: Multimodal drone thermal dataset recorded in rural scenarios,

Reference 81

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unresolved
no resolver link, observed 2026-08-11T00:35:46.840370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.840370Z digest=sha256:b22d9cc13e903cda9a37d5f926ed9480b5f09098c3d24fade8a256dbb2f13ede

Observation 40047657-0c45-4cde-b8e7-2a8c3b17cf2c · outbound

This paper cites The unmanned aerial vehicle benchmark: Object detection and tracking,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions The unmanned aerial vehicle benchmark: Object detection and tracking,

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.990346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.843860Z digest=sha256:36ae7aa6c7016bc8cc4330015bd739fa86e94dd6a58212c082b42412f8d4d08f

Observation 1657b63d-815d-43a7-8c73-ece2fea576f6 · outbound

This paper cites Au-air: A multi-modal unmanned aerial vehicle dataset for low altitude traffic surveillance,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Au-air: A multi-modal unmanned aerial vehicle dataset for low altitude traffic surveillance,

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.980855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.847493Z digest=sha256:029ad5cb86fbd680dec58bdaaa71754a2ccf5422aed97f1e22467b05a090a11f

Observation b2f69d1e-1636-4486-8673-3de096ab80ac · outbound

This paper cites The ad4che dataset and its application in typical congestion scenarios of traffic jam pilot systems,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions The ad4che dataset and its application in typical congestion scenarios of traffic jam pilot systems,

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.971369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.851160Z digest=sha256:9a7d1d575b1247c42430c38ae8ee78cafaf7ecfc20c4b8937a15cc0a2b0588ff

Observation 37d48eed-16e4-4792-9ea0-93757094ffe8 · outbound

This paper cites Automatum data: Drone-based highway dataset for the development and validation of automated driving software for research and commercial applications,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Automatum data: Drone-based highway dataset for the development and validation of automated driving software for research and commercial applications,

Reference 85

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.962961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.854753Z digest=sha256:fa9b746399a2ccdaa03a46c3d742c588554d22b193fa7d72e39e4135c00827d7

Observation aa0f902b-dfd2-40b5-b4c5-8e9fe6a25c0c · outbound

This paper cites Sind: A drone dataset at signalized intersection in china,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Sind: A drone dataset at signalized intersection in china,

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.954045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.858247Z digest=sha256:cbeaf7e0fcf042a67fb7123d91eca65677f09d330bbfe3fe510d6c38498312d3

Observation 8fa25898-303f-434c-b7d5-05f8f95117e4 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 87

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unresolved
no resolver link, observed 2026-08-11T00:35:46.861704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.861704Z digest=sha256:612bb8a36fd9e2cd3ba69c8932c8ba5061346b5662f81d0c2fea416f9129a766

Observation 225d8737-6ee1-4e72-aacc-a360c8432015 · outbound

This paper cites Spatiotemporal object detection for improved aerial vehicle detection in traffic monitoring,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Spatiotemporal object detection for improved aerial vehicle detection in traffic monitoring,

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.944250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.865753Z digest=sha256:073380d89f698cdef0869f6db61292a924d0759e1f88da776f1e4bcc9b12010f

Observation 346d15f8-4e85-4a76-b44e-7393089caf21 · outbound

This paper cites Dota: A large-scale dataset for object detection in aerial images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Dota: A large-scale dataset for object detection in aerial images,

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.933189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.869799Z digest=sha256:6a0e70f2639a47f1bdb5c94e58294f47980c6d3af169c3e3c17169a1de91f441

Observation ab0f744f-a745-496f-9b97-3b3629943879 · outbound

This paper cites Ts4net: Two-stage sample selective strategy for rotating object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Ts4net: Two-stage sample selective strategy for rotating object detection,

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.923321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.873453Z digest=sha256:3d1d69fa49b07a1083be19ecc0f77d6c191968379959447cc824eb00a64a443a

Observation d08909e7-1336-46f4-9a94-791d77f072e1 · outbound

This paper cites Anchor-free oriented proposal generator for object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Anchor-free oriented proposal generator for object detection,

Reference 91

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.912888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.876807Z digest=sha256:1d98dd1a87b61da20c8dddd34dcd15ead45d8f1ecb78b6076806252b5242f0bf

Observation 3143dc6c-496d-4e5a-a500-85a7e537baab · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Towards large-scale small object detection: Survey and benchmarks,

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.902946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.880809Z digest=sha256:927080522d89ac88387c8b3d3c65079e52897135d4b7385deaeedc1bef769892

Observation c8fdecb0-eaec-443f-9df4-1b16b507a66b · outbound

This paper cites Mor-uav: A benchmark dataset and baselines for moving object recognition in uav videos,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Mor-uav: A benchmark dataset and baselines for moving object recognition in uav videos,

Reference 93

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.892266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.884437Z digest=sha256:0318cdbffbcd1b2c574b70ca6edb4e0e483e01580424b1ed7b0f68b051eb5a44

Observation 36dbbbb6-7834-4105-b2a0-14be33e03ab8 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Cascade r-cnn: Delving into high quality object detection,

Reference 94

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no resolver link, observed 2026-08-11T00:35:46.888047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.888047Z digest=sha256:f92a34d41907550df9610b39c52ecd6e7c71672f2e6c01d51fcbfcbf6fcf2673

Observation 8aaefa95-3932-4dc5-a0a7-ce53ac42d5e9 · outbound

This paper cites Dmnet: A network archi- tecture using dilated convolution and multiscale mechanisms for spa- tiotemporal fusion of remote sensing images,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Dmnet: A network archi- tecture using dilated convolution and multiscale mechanisms for spa- tiotemporal fusion of remote sensing images,

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.874759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.891491Z digest=sha256:663051183665291d593cae92ef2c6330b06ddf02acd0a402e3c3bf8fcbf7de62

Observation 13950f9b-f431-4159-b3f2-ea0b7bd38d54 · outbound

This paper cites Cdnet 2014: An expanded change detection benchmark dataset,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Cdnet 2014: An expanded change detection benchmark dataset,

Reference 96

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.865154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.894981Z digest=sha256:5a7da43b9f89b4d17c0afbfd3945cebef7cf06b4d8f9fb27f6ede9a9937cb0b2

Observation 9783939c-f7f8-427f-95fe-c879926da970 · outbound

This paper cites Msa-yolo: a remote sensing object detection model based on multi-scale strip attention,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Msa-yolo: a remote sensing object detection model based on multi-scale strip attention,

Reference 97

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.854259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.898569Z digest=sha256:bc7d9f72fa4b8ddcaaf4dc69a90a0e254a97467a1846308d5db3967ff817bc87

Observation 6119472a-58ba-4ded-ade2-6546dbab5548 · outbound

This paper cites Cf-yolo for small target detection in drone imagery based on yolov11 algorithm,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Cf-yolo for small target detection in drone imagery based on yolov11 algorithm,

Reference 98

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.843911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.902206Z digest=sha256:abc279d3e7aae72e08b2f2a02f0b9bdb298f926b024780e93b2d08a41ff2adce

Observation 1b866edd-6765-46a2-9f01-a8fa36079b8b · outbound

This paper cites SL-YOLO: A Stronger and Lighter Drone Target Detection Model.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions SL-YOLO: A Stronger and Lighter Drone Target Detection Model

Reference 99

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verified exact
local_arxiv, observed 2026-08-11T00:35:47.166649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.906078Z digest=sha256:11dcbc6bf7814960a4587fb1dae030c9f6b380df05a32be56aad90eb91b2ee1e

Observation cc3d0ce6-5dfb-41b0-a85e-69f3d3bd51ec · outbound

This paper cites Enhancing uav aerial image analysis: Integrating advanced sahi techniques with real-time detection models on the visdrone dataset,.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions Enhancing uav aerial image analysis: Integrating advanced sahi techniques with real-time detection models on the visdrone dataset,

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:47.833487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:35:46.910258Z digest=sha256:14c9917a456d28c5d224ec31627f5c5147da880743993e97a6878bf56f73d676

Pith citing papers

No inbound Pith citation observations are available.