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 图像规模庞大，多样性，物体定位和地球表面物体实例的形状检测，良好注释的数据集过于匮乏 从不同的传感器和平台众包2806个航拍图像，每一个图像是大约4000*4000，目标涵盖了各种各样的规模，位置，形状。这些图像被遥感领域
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- 1. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻译
- 2. ICCV2019 | 目标检测论文阅读 Clustered Object Detection in Aerial Images
- 3. ICCV2019 ——Clustered Object Detection in Aerial Images(目标检测)
- 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. 论文阅读笔记（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
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相关文章
- 1. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻译
- 2. ICCV2019 | 目标检测论文阅读 Clustered Object Detection in Aerial Images
- 3. ICCV2019 ——Clustered Object Detection in Aerial Images(目标检测)
- 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. 论文阅读笔记（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