Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:37.537444Z
Paper Citation Record · LEDGER
A Dynamic Transformer Network for Vehicle Detection
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.02765.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy47
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a7556ec9-b2ad-4bf2-a281-d3a7f57ef234 · outbound
This paper cites Smart traffic monitoring through real-time moving vehicle detection using deep learning via aerial images for consumer application,.
A Dynamic Transformer Network for Vehicle Detection Smart traffic monitoring through real-time moving vehicle detection using deep learning via aerial images for consumer application,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:48.209962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1963f250-2078-442e-a50a-bbaa974d527f · outbound
This paper cites Monoli: Precise monocular 3-d object detection for next-generation consumer electronics for autonomous electric vehicles,.
A Dynamic Transformer Network for Vehicle Detection Monoli: Precise monocular 3-d object detection for next-generation consumer electronics for autonomous electric vehicles,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:48.017705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 78e291e3-a823-4a14-99b7-299132a58188 · outbound
This paper cites Histograms of oriented gradients for human detection,.
A Dynamic Transformer Network for Vehicle Detection Histograms of oriented gradients for human detection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:47.843697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d67fa105-ac7d-48ee-a341-20cfcaa9bdd6 · outbound
This paper cites Vehicle detection, tracking and classification in urban traffic,.
A Dynamic Transformer Network for Vehicle Detection Vehicle detection, tracking and classification in urban traffic,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:47.683189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fbfb8b64-327b-4d87-a1b9-8df3a782d485 · outbound
This paper cites Vision-based target detection and localization via a team of cooperative uav and ugvs,.
A Dynamic Transformer Network for Vehicle Detection Vision-based target detection and localization via a team of cooperative uav and ugvs,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:47.504750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 926fd501-9722-4edb-aa70-48ff1d96b6c9 · outbound
This paper cites Detection and classification of vehicles from omnidirectional videos using multiple silhouettes,.
A Dynamic Transformer Network for Vehicle Detection Detection and classification of vehicles from omnidirectional videos using multiple silhouettes,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:47.296127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9759c3cf-1141-4fd0-86c2-271e52d92715 · outbound
This paper cites Online boosting for vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection Online boosting for vehicle detection,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:47.190844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2671bc95-f894-478f-a000-4278b2fecc09 · outbound
This paper cites Moving vehicle detection for automatic traffic monitoring,.
A Dynamic Transformer Network for Vehicle Detection Moving vehicle detection for automatic traffic monitoring,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.984578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 120f3920-71a3-4557-81f5-409626986e3a · outbound
This paper cites Real-time traffic sign recognition based on a general purpose gpu and deep-learning,.
A Dynamic Transformer Network for Vehicle Detection Real-time traffic sign recognition based on a general purpose gpu and deep-learning,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.844834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5e796399-16cf-432e-9e92-6efd38ecd3d3 · outbound
This paper cites Centernet: Keypoint triplets for object detection,.
A Dynamic Transformer Network for Vehicle Detection Centernet: Keypoint triplets for object detection,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.644612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aefa3372-1be8-4388-a660-f2fae3023bfe · outbound
This paper cites Littleyolo-spp: A delicate real-time vehicle detection algorithm,.
A Dynamic Transformer Network for Vehicle Detection Littleyolo-spp: A delicate real-time vehicle detection algorithm,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.456091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e55ef826-3efc-4aad-80e0-f103e377620d · outbound
This paper cites Sinet: A scale-insensitive convolutional neural network for fast vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection Sinet: A scale-insensitive convolutional neural network for fast vehicle detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.294051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2cb6af0e-80f0-4486-865b-7994d98c6510 · outbound
This paper cites Vision-based vehicle detection and counting system using deep learning in highway scenes,.
A Dynamic Transformer Network for Vehicle Detection Vision-based vehicle detection and counting system using deep learning in highway scenes,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:46.123904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation acbf52f6-42a2-4d20-be4b-184e1a255c1c · outbound
This paper cites A lightweight vehicles detection network model based on yolov5,.
A Dynamic Transformer Network for Vehicle Detection A lightweight vehicles detection network model based on yolov5,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:45.914999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 93902797-ecd7-4c7d-bd97-ae2b1c5ada52 · outbound
This paper cites Multi-modality sensing and data fusion for multi-vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection Multi-modality sensing and data fusion for multi-vehicle detection,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:45.680176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f801143-c609-487c-a31d-07a929b7a647 · outbound
This paper cites Real-time vehicle detection based on improved yolo v5,.
A Dynamic Transformer Network for Vehicle Detection Real-time vehicle detection based on improved yolo v5,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:45.474033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 499f565d-5061-490c-8fc3-5b5f2c570fc3 · outbound
This paper cites Improved faster rcnn based on feature amplification and oversampling data augmentation for oriented vehicle detection in aerial images,.
A Dynamic Transformer Network for Vehicle Detection Improved faster rcnn based on feature amplification and oversampling data augmentation for oriented vehicle detection in aerial images,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:45.261949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fb627c99-aea6-4447-8836-dc1c656c05eb · outbound
This paper cites Preprocessed faster rcnn for vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection Preprocessed faster rcnn for vehicle detection,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:45.037012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7c88765-8af9-4e0d-971a-cc14d746571b · outbound
This paper cites Multeye: Monitoring system for real-time vehicle detection, tracking and speed estimation from uav imagery on edge-computing platforms,.
A Dynamic Transformer Network for Vehicle Detection Multeye: Monitoring system for real-time vehicle detection, tracking and speed estimation from uav imagery on edge-computing platforms,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:44.830082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9570d9ab-20ba-4346-b497-5c96ce230a6e · outbound
This paper cites Performance enhancement of yolov3 by adding prediction layers with spatial pyramid pooling for vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection Performance enhancement of yolov3 by adding prediction layers with spatial pyramid pooling for vehicle detection,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:44.640280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 43748ace-a8f7-46c3-a5ab-2f6c160509be · outbound
This paper cites Deep neural network based vehicle detection and classification of aerial images.
A Dynamic Transformer Network for Vehicle Detection Deep neural network based vehicle detection and classification of aerial images
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:44.448267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9e6f1ea8-4017-4ee3-ac1f-1e7da1e1dfc4 · outbound
This paper cites Traffic management: Multi-scale vehicle detection in varying weather condi- tions using yolov4 and spatial pyramid pooling network,.
A Dynamic Transformer Network for Vehicle Detection Traffic management: Multi-scale vehicle detection in varying weather condi- tions using yolov4 and spatial pyramid pooling network,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:44.228567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 93f5ed99-7543-442f-b8d2-684de1b1a8e2 · outbound
This paper cites A resource- efficient cnn-based method for moving vehicle detection,.
A Dynamic Transformer Network for Vehicle Detection A resource- efficient cnn-based method for moving vehicle detection,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:43.986509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ded0509b-26e5-494d-b0ec-d9e5278cea5d · outbound
This paper cites Dynamic convolution: Attention over convolution kernels,.
A Dynamic Transformer Network for Vehicle Detection Dynamic convolution: Attention over convolution kernels,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:43.709290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e018c177-055e-4741-8465-1e98d745ba66 · outbound
This paper cites Dynamic convolutions: Exploiting spatial sparsity for faster inference,.
A Dynamic Transformer Network for Vehicle Detection Dynamic convolutions: Exploiting spatial sparsity for faster inference,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:43.517565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b08578de-d4ad-4cbd-850a-a553143f2abf · outbound
This paper cites Dynamic region-aware convolution,.
A Dynamic Transformer Network for Vehicle Detection Dynamic region-aware convolution,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:43.312774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9fd93acf-dd71-4bdd-a0e7-902220290182 · outbound
This paper cites Squeeze-and-excitation networks,.
A Dynamic Transformer Network for Vehicle Detection Squeeze-and-excitation networks,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:43.110060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8d59990f-dc78-47ee-8d79-2194df633181 · outbound
This paper cites Residual dense network for image restoration,.
A Dynamic Transformer Network for Vehicle Detection Residual dense network for image restoration,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:42.872236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 22527847-974b-42f6-a164-0660926b829c · outbound
This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.
A Dynamic Transformer Network for Vehicle Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:42.628015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ae55e096-68ae-46b5-8877-ed0bfc5c3d08 · outbound
This paper cites Adaptive dynamic filtering network for image denoising,.
A Dynamic Transformer Network for Vehicle Detection Adaptive dynamic filtering network for image denoising,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:42.323253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 770f4bf2-b83e-4011-a310-aebc25876d4c · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.
A Dynamic Transformer Network for Vehicle Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:42.061951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c5d913b-eae6-437d-9aff-d4ea953e5d0a · outbound
This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.
A Dynamic Transformer Network for Vehicle Detection Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:34.588548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a7fe983-39f4-4433-8fd5-934566d267a9 · outbound
This paper cites Activating more pixels in image super-resolution transformer,.
A Dynamic Transformer Network for Vehicle Detection Activating more pixels in image super-resolution transformer,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:41.804891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cfc1f149-a49f-47d4-b2c1-967a7d15e026 · outbound
This paper cites Tvconv: Efficient translation variant convolution for layout-aware visual process- ing,.
A Dynamic Transformer Network for Vehicle Detection Tvconv: Efficient translation variant convolution for layout-aware visual process- ing,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:41.544174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4aada962-b99e-43e0-9872-a5e4277420d1 · outbound
This paper cites Ua-detrac: A new benchmark and protocol for multi-object detection and tracking,.
A Dynamic Transformer Network for Vehicle Detection Ua-detrac: A new benchmark and protocol for multi-object detection and tracking,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:41.268055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4efeea4d-177e-4379-80bc-c78f0d1e7a54 · outbound
This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.
A Dynamic Transformer Network for Vehicle Detection Bdd100k: A diverse driving dataset for heterogeneous multitask learning,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:41.050272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8fcbf9bc-e95c-4938-b871-bc393450a0f9 · outbound
This paper cites Vehicle type classification using a semisupervised convolutional neural network,.
A Dynamic Transformer Network for Vehicle Detection Vehicle type classification using a semisupervised convolutional neural network,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:40.779373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aa760732-b78f-4434-8d3d-c1787114ba2a · outbound
This paper cites Stochastic gradient descent tricks,.
A Dynamic Transformer Network for Vehicle Detection Stochastic gradient descent tricks,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:40.529390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 82f4b2c3-8539-4b0a-ad85-63dd6a8ba590 · outbound
This paper cites Stevens, L.
A Dynamic Transformer Network for Vehicle Detection Stevens, L
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:40.256357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e5ec515a-3b64-4905-8623-31fd4b08d46c · outbound
This paper cites YOLOv3: An Incremental Improvement.
A Dynamic Transformer Network for Vehicle Detection YOLOv3: An Incremental Improvement
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:35.696712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 708127bf-799b-46d2-b240-f1e9117861d2 · outbound
This paper cites Ssd: Single shot multibox detector,.
A Dynamic Transformer Network for Vehicle Detection Ssd: Single shot multibox detector,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:39.950299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c8eaaf44-9700-4aa7-8b7a-d1c5df920f5e · outbound
This paper cites Wasserstein loss-based deep object detection,.
A Dynamic Transformer Network for Vehicle Detection Wasserstein loss-based deep object detection,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:39.664377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f26d2f3e-7854-42d3-a727-2dadd907db15 · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
A Dynamic Transformer Network for Vehicle Detection YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:36.196273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaedbf58-e094-45e7-8042-e9bf7854f398 · outbound
This paper cites A deep learning-based hybrid framework for object detection and recognition in autonomous driving,.
A Dynamic Transformer Network for Vehicle Detection A deep learning-based hybrid framework for object detection and recognition in autonomous driving,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:39.392501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ab9f8d2c-c58e-4946-b092-7150448d8783 · outbound
This paper cites Improved vision-based vehicle detection and classification by optimized yolov4,.
A Dynamic Transformer Network for Vehicle Detection Improved vision-based vehicle detection and classification by optimized yolov4,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:39.072452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 49c9c2e9-aa65-4941-9c6a-06c43ffc64b3 · outbound
This paper cites ultralytics/yolov5: v3. 0,.
A Dynamic Transformer Network for Vehicle Detection ultralytics/yolov5: v3. 0,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:38.821924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 978f4c70-2c93-4735-93c7-b2254508333c · outbound
This paper cites Small object detection in traffic scenes based on attention feature fusion,.
A Dynamic Transformer Network for Vehicle Detection Small object detection in traffic scenes based on attention feature fusion,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:38.557034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 304b0d4c-80fb-420c-ac51-e63f9c899e86 · outbound
This paper cites Vehicle target detection algorithm based on yolov5,.
A Dynamic Transformer Network for Vehicle Detection Vehicle target detection algorithm based on yolov5,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:38.321327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d4098990-65ac-4d38-be80-367527812541 · outbound
This paper cites DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.
A Dynamic Transformer Network for Vehicle Detection DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:37.069791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd597dc1-2565-46e1-8472-cb7a049578d1 · outbound
This paper cites Focal loss for dense object detection,.
A Dynamic Transformer Network for Vehicle Detection Focal loss for dense object detection,
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:37.218785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 080cc2b4-6195-4eda-933a-20ad5913ae52 · outbound
This paper cites Pannet: A deep network architecture for pan-sharpening,.
A Dynamic Transformer Network for Vehicle Detection Pannet: A deep network architecture for pan-sharpening,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:38.044510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2385ad3e-1cda-49ea-9bfa-fe1ccbf5b280 · outbound
This paper cites A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,.
A Dynamic Transformer Network for Vehicle Detection A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,
Reference 52
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- verified fuzzy
- raw_fallback, observed 2026-08-07T11:19:37.799032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.