Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:43:04.180974Z
Paper Citation Record · LEDGER
Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection
As of 13 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
44 of 44 outbound references displayed
- verified exact0
- verified fuzzy38
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:00.853414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.251144Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.244974Z
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.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:01.023866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.235100Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.229514Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.223751Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.218129Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.211632Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.205448Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.199680Z
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.
Observation f117dd23-8837-4938-9fc2-c70160645561 · outbound
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.193729Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.188099Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.181906Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.175797Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.169107Z
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.
Observation a6d95223-ac47-4b51-92b2-714caaaa2727 · outbound
This paper cites an unresolved cited work.
Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T04:43:07.162227Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.155483Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.148009Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.140358Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.132706Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.124312Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.117341Z
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.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:02.346534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.110503Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.042080Z
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:07.035711Z
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.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:02.725293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:06.941595Z
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.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:02.893049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- 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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- 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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- 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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- 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 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.