Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:43:04.180974Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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.

source=pdf_text observed=2026-08-05T04:43:00.853414Z digest=sha256:07f2e624aaa16dff361e9dd84a8670378432b56508a7b47820075859c432d7e4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:00.889358Z digest=sha256:d5a2af9d0ee3e4907a93106ca1741ce60d3ef429b438314009ce02b4c548bbc0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:00.961314Z digest=sha256:7c7d13f151ccd4162ddc5045d7976c5cf081d0bdccda6e0edba1a167d21f9976

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.

source=pdf_text observed=2026-08-05T04:43:01.023866Z digest=sha256:fc2791af63b1d143dd1a2aaa161616d24a79a18f39bbf8b4d4c420f96e01be58

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.095471Z digest=sha256:eef88d058ebb0ab732be8e8115fd6161321b20a7ceef41accb35cf50df56f856

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.134061Z digest=sha256:fa2794341f27cf70a517ad641e49969195ebe8123c3cb10dc472b43081decab4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.221655Z digest=sha256:5e64e7ab4cd32f8623cf55d17278996533503226447f3ff5b2097c4129421bc7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.313980Z digest=sha256:f82b46cfdd6e1c4acaed29553a35d407aea465f9548a608c94968662ea681ea5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.381041Z digest=sha256:a2943ab69d8466e86be306ff3ed49a6a80471819d685142e36737d1593d04cf4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.423813Z digest=sha256:db1ab59f49df210cc481c3d6b39a521266d49693da5fedae490bba78e73755ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.488802Z digest=sha256:7d3bd083aee2e3149777b203acd2fc3ecec7a78afb39bc8ffa826f8cea93c3ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.563416Z digest=sha256:e99752fc3278bb2019ee0377bf902faa148c9a557af676207366818e144ea0c2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.610973Z digest=sha256:2067b900e3d278a2c44b73e9cdd184b1b223f977576aa0dce9415f479884a4f9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.654882Z digest=sha256:718a51d8f900b5c360b96661db04e795db1cc95b4ae857e046ab5dc37ce72093

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.690959Z digest=sha256:e976203b2109b9c09335b734cde08f90fbea29b263fd3caa59cb1f1cf659ad6b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.738283Z digest=sha256:d37765d9b2d4fefdc80634a48092c6c71a981396309710bc9b6ecc02b802b038

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.795816Z digest=sha256:6cc3fa665a54e95a64be8d3c85057d00c9a0bdbb07c40f24b4b542c72151041e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.856519Z digest=sha256:84a6f7abbe70c7215414525b664f979989c64e59762f8ca607ac5c2af8373cc8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.888366Z digest=sha256:4a2ce618602d891093cca37f21aea64720767aa2523b868345229e6075bf1a59

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:01.992232Z digest=sha256:2f05b2251a6fdaa9259972aeb3b832e1e9f28afa0b5af7bc96914fafb305508a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.067279Z digest=sha256:82fb193253183d7845223a194a4ee73b3c5f3381d040fd621716b3e460b344c8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.163905Z digest=sha256:610712fd517703926c0c0c73c5a6b2d4aed59282b0f0e6f7f1676194c52e1c4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.250572Z digest=sha256:0b2fafba572b7719008b1767bf0547044441d97d87d23f25d4805ab1d161baee

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.

source=pdf_text observed=2026-08-05T04:43:02.346534Z digest=sha256:0a5bcd059df9c403147c45ebf6798a9a51300166b4b927022421de5ec0116693

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.445191Z digest=sha256:13a077bc1d635ab1c8e971e470d6bda6be77d6825591afb6b744c992bb1e8e9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.536905Z digest=sha256:593f1e0e5b28648969f25ab933cdddb89779ecdc76202efc608792effac44928

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.629080Z digest=sha256:cb24a1f704a575d760721b6ff07589b764b0fd2795278322515b4bd03d0b92d5

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.

source=pdf_text observed=2026-08-05T04:43:02.725293Z digest=sha256:9f3407882ef39b51387a7304acc06281a3a072d4d4fa09411323f24f986a4d2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.815667Z digest=sha256:51cb010949347bcd3187670bde01c49977913678e5b68114d6f841726b3e51bd

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.

source=pdf_text observed=2026-08-05T04:43:02.893049Z digest=sha256:a70549f078228bed501c29c44551389b0b595660efe9317ba317b5f9397efc35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:02.941638Z digest=sha256:d30117ecf615b9db704735c464094dab13efca01aac3acb01aa604b540ec673f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.017951Z digest=sha256:a015391d919e0eb4f91e7ff886939e9499358e219fa4ad134fddbc11ca36d510

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.110412Z digest=sha256:d4351cd89c834d43958ada07c48cf0d6ed7399406a1798a21fe53e0b840a4ade

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.210134Z digest=sha256:03bf1a6319ea186441808ab59c0815460c57390ab4a05f8753048341419f8181

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.312952Z digest=sha256:fb0d67e05f70cbc3eca2a83ea29339c066a672a0f321472c864519e772ec5d3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.413966Z digest=sha256:e3d0dd2fa17ad8823e2684dbab33036821116af836158bab5a062bc45b511b62

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.510232Z digest=sha256:75c738f953ceaacd69c764cb6ca66fd4c9972df034b38eb731d9efe0829ad37e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.620774Z digest=sha256:fca8f698c3f0d0e2f4d313a0e3eb77d5b38f661d914f5510da1555a364cdcf72

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.726685Z digest=sha256:0a2252f479d96a773eff82fe632ba7f5d39eb6224a3ba3628f5a9a15bc511f2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.794752Z digest=sha256:6159e8995639606ff8414d78fa92ad21f5e15173102ab49999b649cae33ffa4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.888885Z digest=sha256:9262572a8d226b6124fe7c3aae21112d3d139d0db39d0f8eb8baab77791c23a7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:03.996738Z digest=sha256:001ba606b3c2cbb15bbe9d65b820cd2c814ecf65ba0a49756aa14931359637e9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:04.083133Z digest=sha256:354da2c94be29d3af8377baa1748ca9b76fcfd55964094c7c1d7aba602e4b050

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T04:43:04.180974Z digest=sha256:b040fadad3106794e678c75e94c3c412f26c0b3633d6eff2d67b67fcd8e46a10

Pith citing papers

No inbound Pith citation observations are available.