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Paper Citation Record · LEDGER

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.06011.

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

pith.paper-citation-record.v1
2509.06011 v2

Coverage vector

measured 44 of 44 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 063a720c-fdb3-486a-8419-d4795b70190d · outbound

This paper cites Qwen2.5-VL Technical Report.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Qwen2.5-VL Technical Report

Reference 1

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Observation 1fa640cc-9b1d-4fa6-baf0-d6fa51ff8a46 · outbound

This paper cites Dataset: Traffic images captured from uavs for use in training machine vision algo- rithms for traffic management.Data, 7(5), 2022.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Dataset: Traffic images captured from uavs for use in training machine vision algo- rithms for traffic management.Data, 7(5), 2022

Reference 2

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Observation 9f46a0fc-9b96-4dda-85aa-385019f554ab · outbound

This paper cites Au-air: A multi-modal un- manned aerial vehicle dataset for low altitude traffic surveil- lance.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Au-air: A multi-modal un- manned aerial vehicle dataset for low altitude traffic surveil- lance

Reference 3

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Observation cd14ebb9-d2f0-469f-9701-ca5d54014184 · outbound

This paper cites Large-scale structure from motion with semantic con- straints of aerial images.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Large-scale structure from motion with semantic con- straints of aerial images

Reference 4

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Observation 93247acb-307e-41c1-bc3e-f0d9eb681dbe · outbound

This paper cites YOLO-MS: Rethink- ing Multi-Scale Representation Learning for Real-time Ob- ject Detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–14, 2025.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection YOLO-MS: Rethink- ing Multi-Scale Representation Learning for Real-time Ob- ject Detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–14, 2025

Reference 5

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Observation ba6b8890-2b7e-4aa0-bda3-aa92a3bd5738 · outbound

This paper cites Ef-detr: A lightweight transformer-based object detector with an encoder-free neck.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Ef-detr: A lightweight transformer-based object detector with an encoder-free neck

Reference 6

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Observation e6e1dab5-dd87-4a7c-bd04-4f9da954ce7a · outbound

This paper cites Yolo-world: Real-time open- vocabulary object detection.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Yolo-world: Real-time open- vocabulary object detection

Reference 7

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Observation 7db0c814-5e36-4fa8-9e97-9f0759dae43c · outbound

This paper cites Vision-based uav self- positioning in low-altitude urban environments.IEEE Trans- actions on Image Processing, 33:493–508, 2024.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Vision-based uav self- positioning in low-altitude urban environments.IEEE Trans- actions on Image Processing, 33:493–508, 2024

Reference 8

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Observation cbdbcaef-b810-4bf1-88cf-4c2efd67c1cd · outbound

This paper cites Counting cattle in uav images using convolutional neural network.Remote Sensing Applications: Society and Environment, 29:100900, 2023.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Counting cattle in uav images using convolutional neural network.Remote Sensing Applications: Society and Environment, 29:100900, 2023

Reference 9

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Observation 93b9d582-6956-4b14-8f31-37b9b1abdffe · outbound

This paper cites Cross-layer feature pyramid transformer for small object detection in aerial images.IEEE Transactions on Geo- science and Remote Sensing, 63:1–14, 2025.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Cross-layer feature pyramid transformer for small object detection in aerial images.IEEE Transactions on Geo- science and Remote Sensing, 63:1–14, 2025

Reference 10

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Observation bfe907be-0afc-45f9-8f83-cea3bd1d759e · outbound

This paper cites Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models

Reference 11

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This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Lvis: A dataset for large vocabulary instance segmentation

Reference 12

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Observation 5b7b282c-4e23-4bf9-bc23-9f7bd7eec33f · outbound

This paper cites An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance.Inte- grated Computer-Aided Engineering, pages 1–15, 2021.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance.Inte- grated Computer-Aided Engineering, pages 1–15, 2021

Reference 13

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Observation 507cb04e-7cf0-4db6-bc53-2f6f8ca45c01 · outbound

This paper cites A context-scale- aware detector and a new benchmark for remote sensing small weak object detection in unmanned aerial vehicle im- ages.Int.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection A context-scale- aware detector and a new benchmark for remote sensing small weak object detection in unmanned aerial vehicle im- ages.Int

Reference 14

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Observation 7d8d2f5d-1871-4f76-bee2-01237222088a · outbound

This paper cites Multisized object detection using space- borne optical imagery.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:3032– 3046, 2020.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Multisized object detection using space- borne optical imagery.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:3032– 3046, 2020

Reference 15

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Observation 8e21d535-7c56-4f0a-a7cf-eeea8a683c6f · outbound

This paper cites Flame 3 dataset: Unleashing the power of radiometric thermal uav imagery for wildfire man- agement, 2024.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Flame 3 dataset: Unleashing the power of radiometric thermal uav imagery for wildfire man- agement, 2024

Reference 16

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Observation a6d95223-ac47-4b51-92b2-714caaaa2727 · outbound

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Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Unresolved cited work

Reference 17

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Observation a28b4c0c-2e89-4ab5-8d8a-31564d587f1a · outbound

This paper cites Mdetr - mod- ulated detection for end-to-end multi-modal understanding.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Mdetr - mod- ulated detection for end-to-end multi-modal understanding

Reference 18

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Observation b6b08ecf-bdd5-4995-9385-7956029895ba · outbound

This paper cites Yolov11: An overview of the key architectural enhancements, 2024.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Yolov11: An overview of the key architectural enhancements, 2024

Reference 19

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Observation cacdf4d1-d317-49a6-b289-64109e6b868e · outbound

This paper cites Autonomous, onboard vision-based trash and litter detection in low altitude aerial images collected by an unmanned aerial vehicle.Remote Sensing, 13(5), 2021.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Autonomous, onboard vision-based trash and litter detection in low altitude aerial images collected by an unmanned aerial vehicle.Remote Sensing, 13(5), 2021

Reference 20

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Observation eeb09b47-8d6c-4f5c-bc96-4ba189261e92 · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Lawrence Zitnick, and Piotr Dollár

Reference 21

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Observation bafb4d90-018e-4179-9ba0-90c545a2bb65 · outbound

This paper cites Focal loss for dense object detection.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Focal loss for dense object detection

Reference 22

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Observation 3f3433e5-0ccb-4cea-bd8d-a01158525bd6 · outbound

This paper cites Esod: Effi- cient small object detection on high-resolution images.IEEE Transactions on Image Processing, 34:183–195, 2025.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Esod: Effi- cient small object detection on high-resolution images.IEEE Transactions on Image Processing, 34:183–195, 2025

Reference 23

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Observation 3caa5cd3-8ab4-413d-b4dc-fe51aa1ad2b8 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 24

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Observation 4cef914e-4e9e-48fe-9939-1deda93c2380 · outbound

This paper cites Era: A data set and deep learning benchmark for event recog- nition in aerial videos [software and data sets].IEEE Geo- science and Remote Sensing Magazine, 8(4):125–133, 2020.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Era: A data set and deep learning benchmark for event recog- nition in aerial videos [software and data sets].IEEE Geo- science and Remote Sensing Magazine, 8(4):125–133, 2020

Reference 25

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Observation 2a0cd46f-1454-435c-977f-379993e8e7bf · outbound

This paper cites A bench- mark and simulator for uav tracking.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection A bench- mark and simulator for uav tracking

Reference 26

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Observation 0bd2513b-1cbb-4377-8b29-3b38b61e5b1d · outbound

This paper cites Ensem- ble knowledge transfer for semantic segmentation.2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pages 1499–1508, 2018.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Ensem- ble knowledge transfer for semantic segmentation.2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pages 1499–1508, 2018

Reference 27

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Observation 02a47087-a5a3-44c1-b59c-a99ac770324b · outbound

This paper cites Locate anything on earth: Advancing open-vocabulary ob- ject detection for remote sensing community.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Locate anything on earth: Advancing open-vocabulary ob- ject detection for remote sensing community

Reference 28

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Observation 60e3e4ae-cb61-4b9a-8c94-ab2b2f8657c5 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Learning transferable visual models from natural language supervision

Reference 29

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Observation 97cd380c-0b52-46d4-8e4f-e037ebe200b0 · outbound

This paper cites FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 30

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Observation 9163ba4f-bd43-41d2-bd83-aabcf824e85c · outbound

This paper cites Rescuenet: A high resolution uav semantic segmen- tation dataset for natural disaster damage assessment.Scien- tific Data, 10(1):913, 2023.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Rescuenet: A high resolution uav semantic segmen- tation dataset for natural disaster damage assessment.Scien- tific Data, 10(1):913, 2023

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-05T04:43:06.650261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:02.941638Z digest=sha256:defa6259513d5a24d65fc385ff423b5fcc654c003ff731056c7d2ecb1acdde71

Observation 8ae7ae5a-4487-4b87-b202-46af8b76eb87 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:06.369509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.017951Z digest=sha256:be4836e7994fc5db3073926f261b04ae6e66340f8f4443f22764e931427b130f

Observation cdae93c1-cd89-4e76-96f3-673193067e04 · outbound

This paper cites Ladd: Lacmus drone dataset, 2023.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Ladd: Lacmus drone dataset, 2023

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T04:43:06.138366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.110412Z digest=sha256:db2ba10c119c54c31f5b93aec7fac54d0f9cb2b7f5a39706fbd85ceddc3599bc

Observation 519bb2b5-222c-4a8e-bc44-1ad34a1e4023 · outbound

This paper cites Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Cir- cuits and Systems for Video Technology, pages 1–1, 2022.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Cir- cuits and Systems for Video Technology, pages 1–1, 2022

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.943017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.210134Z digest=sha256:2d14b205f65bd58d0e51d467e28750308168fb0d66978282e17f4b3f9fc65fc9

Observation 9a16e565-019f-4f12-ab8f-77d65e004676 · outbound

This paper cites Seadronessee: A maritime benchmark for detecting humans in open water.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Seadronessee: A maritime benchmark for detecting humans in open water

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.762719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.312952Z digest=sha256:68b7dfe12a8ae576251545783dd909b60611eb3a8e7f62a5e2bd308b25a77494

Observation 8e5a338b-fad0-42b6-bc09-c1f71fc1fc50 · outbound

This paper cites Yoloe: Real-time seeing anything, 2025.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Yoloe: Real-time seeing anything, 2025

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.612252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.413966Z digest=sha256:b91ddb74c26d475f4dd5d71b462a25c26e613f875585a3bd79632de93acdd6fb

Observation 7c2b5cb5-bbb1-4ba5-b1bb-81ad5a5f88e9 · outbound

This paper cites Dac-sdc: Design automation conference system design contest 2022 dataset, 2022.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Dac-sdc: Design automation conference system design contest 2022 dataset, 2022

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.455123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.510232Z digest=sha256:908b1378eac197f517da52af34acba32a6e76928ba53f7467b7cc12e84f3977b

Observation 5420b717-b902-4d6c-b3e9-c484345c6dec · outbound

This paper cites More clear, more flexible, more precise: A comprehensive oriented object detection benchmark for uav,.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection More clear, more flexible, more precise: A comprehensive oriented object detection benchmark for uav,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.290032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.620774Z digest=sha256:9e252ac37dc2a21028d9327c70a3b9e6094a8b6fb4f470e1f3ae8dff0169968f

Observation 63ca3c50-672f-47e6-9dc0-1f585f5ad2de · outbound

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

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection The unmanned aerial vehicle benchmark: Object detection, tracking and baseline.Int

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:05.138742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.726685Z digest=sha256:515df1e0bf2b7de54e4d557aac70eca503e80a9120c6e97e41753811a0214285

Observation 758f0b43-1ba4-490c-bdec-959245cface4 · outbound

This paper cites Open-vocabulary object detection using captions.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Open-vocabulary object detection using captions

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-05T04:43:04.955122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.794752Z digest=sha256:b96fad8affccb7eec573ffa6b02e7af125d3596bffcc6873f062bea0efdf96f8

Observation 7b127122-e62e-481a-b004-5827ac50ecf4 · outbound

This paper cites Air-to-air visual detection of micro- uavs: An experimental evaluation of deep learning.IEEE Robotics and Automation Letters, 6(2):1020–1027, 2021.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Air-to-air visual detection of micro- uavs: An experimental evaluation of deep learning.IEEE Robotics and Automation Letters, 6(2):1020–1027, 2021

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:04.816538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.888885Z digest=sha256:3411ba75f27e728b649b4b4fe699106c9fec3d5d50573891cc14982e8103c1ca

Observation 5e1881b4-bb66-4e48-bd01-a3f01ea72abb · outbound

This paper cites University- 1652: A multi-view multi-source benchmark for drone- based geo-localization.ACM Multimedia, 2020.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection University- 1652: A multi-view multi-source benchmark for drone- based geo-localization.ACM Multimedia, 2020

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-05T04:43:04.658239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:03.996738Z digest=sha256:16de52dcda225c8275ea6917e5203eb2e4947bdac0ef48950d9a212a1cb76586

Observation c79d8cfb-db88-4260-ad7a-64ed05150f20 · outbound

This paper cites Detection and tracking meet drones challenge.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(11):7380–7399, 2021.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Detection and tracking meet drones challenge.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(11):7380–7399, 2021

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:43:04.522158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:04.083133Z digest=sha256:908058ac8286a765d4ceed63ccb91c972e064b458dc8ca8ae8786c1061427224

Observation ebf9106e-1d23-4bf5-962d-a7ed7dc81bc4 · outbound

This paper cites Sues-200: A multi-height multi- scene cross-view image benchmark across drone and satel- lite.IEEE Transactions on Circuits and Systems for Video Technology, 33(9):4825–4839, 2023.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Sues-200: A multi-height multi- scene cross-view image benchmark across drone and satel- lite.IEEE Transactions on Circuits and Systems for Video Technology, 33(9):4825–4839, 2023

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-05T04:43:04.353207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T04:43:04.180974Z digest=sha256:9e4ab51928a513827d77446e1565b1479bd76ec5e2d206ce7da03c96946e7fe7

Pith citing papers

No inbound Pith citation observations are available.