DOTA: A Lareg-scale dataset for object detection in aerial images
DOTA: A Lareg-scale dataset for object detection in aerial images Abstract: Earth vision 圖像規模龐大，多樣性，物體定位和地球表面物體實例的形狀檢測，良好註釋的數據集過於匱乏 從不同的傳感器和平臺衆包2806個航拍圖像，每一個圖像是大約4000*4000，目標涵蓋了各種各樣的規模，位置，形狀。這些圖像被遙感領域
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相關文章
- 1. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻譯
- 2. ICCV2019 | 目標檢測論文閱讀 Clustered Object Detection in Aerial Images
- 3. ICCV2019 ——Clustered Object Detection in Aerial Images(目標檢測)
- 4. Sliding Shapes for 3D Object Detection in Depth Images
- 5. KITTI 3D Object Detection Dataset
- 6. Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 7. Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- 8. 論文閱讀筆記（三十八）：Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 9. Metrics for object detection
- 10. Object Detection in 20 Years: A Survey