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UAV-DETR

UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery

This is the official implementation of the paper:

⚠️ Status: Unmaintained

As my personal professional focus and research interests have shifted towards Large Language Models , I find myself with limited time and energy to properly maintain this project. Therefore, I have decided to pause active archive this repository.

🚀 Updates

  • ​**[2024.10]**​ Release UAV-DETR-R50, UAV-DETR-R18.

  • ​**[2025.01]**​ The initial version of the paper has been uploaded to arXiv.

  • ​**[2025.03]**​ Release UAV-DETR-EV2. Fixed some bugs.

  • 🔥 ​UAV-DETR


Experimental Results on the VisDrone-2019-DET Dataset

Model Backbone Input Size ​**Params (M)**​ GFLOPs AP ​**AP$_{50}$**​
UAV-DETR-R50 (Ours) EfficientFormerV2 640×640 12.1 33.3 28.2 46.7
UAV-DETR-R18 (Ours) ResNet18 640×640 20.5 64.3 29.8 48.8
UAV-DETR-R50 (Ours) ResNet50 640×640 44.4 161.4 31.5 51.1

Experimental Results on UAVVaste Dataset

Model ​**Params (M)**​ GFLOPs AP ​**AP$_{50}$**​
UAV-DETR-R50 (Ours) 44.4 161.4 37.5 75.9
UAV-DETR-R18 (Ours) 20.5 64.3 35.1 72.1
UAV-DETR-EV2 (Ours) 12.1 33.3 33.7 70.6

Ablation Study

Model Configuration AP ​**AP$_{50}$**​
Baseline 26.7 44.6
Baseline + Inner-SIoU 27.1 45.3
Baseline + MSFF-FE 28.4 46.9
Baseline + MSFF-FE + FD 28.4 47.1
Full Model 29.8 48.8

📍 Environment

  • torch 1.13.1+cu11.7
  • torchvision 0.14.1+cuda11.7
  • Ubuntu 20.04

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如果仍有疑问,请邮件联系:zhanghx23@m.fudan.edu.cn

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