MMF-《Deep Continuous Fusion for Multi-Sensor 3D Object Detection》论文翻译
《Deep Continuous Fusion for Multi-Sensor 3D Object Detection》论文翻译 3 多层传感器 3D 目标检测 3.1连续融合层 3.2 多传感器目标检测网络 这篇论文是CVPR2019年的论文，方法在KITTI数据集中的3D object detection上排名很高。创新点主要是第一次将图像特征投影到BEV图做回归，其次是解决了BEV和Im
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相关文章
- 1. Deep Continuous Fusion for Multi-Sensor 3D Object Detection
- 2. Deep Neural Networks for Object Detection论文翻译
- 3. 三维目标检测论文阅读：Deep Continuous Fusion for Multi-Sensor 3D Object Detection
- 4. 解读：Deep Continuous Fusion for Multi-Sensor 3D Object Detection
- 5. 【论文翻译】Focal Loss for Dense Object Detection
- 6. PointPainting: Sequential Fusion for 3D Object Detection论文学习及复现
- 7. Deep Continuous Fusion (Uber'18) - 知乎
- 8. 【论文速览】PointPainting: Sequential Fusion for 3D Object Detection
- 9. Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation论文翻译
- 10. 论文阅读：Deep Neural Networks for Object Detection