MODNet-Motion and Appearance based Moving Object Detection Network for Autonomous Driving
相关连接 项目地址： http://webdocs.cs.ualberta.ca/~vis/kittimoseg/ 文章地址： https://arxiv.org/pdf/1709.04821.pdf 解决问题 获得两种结果，一个是区分运动前景和静态背景的mask，另外一个是检测所有车辆的bounding boxes，并且区分 主要贡献 MODNet 一个双流的多任务学习框架，两个VGG16的
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相关文章
- 1. Pillar-based Object Detection for Autonomous Driving
- 2. 解读ECCV2020：Pillar-based Object Detection for Autonomous Driving
- 3. Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 4. 无人驾驶中的目标检测--MODNet: Moving Object Detection Network for Autonomous Driving
- 5. Multi-View 3D Object Detection Network for Autonomous Driving
- 6. 论文阅读CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 7. [论文解读]Multi-View 3D Object Detection Network for Autonomous Driving
- 8. MV3D：Multi-View 3D Object Detection Network for Autonomous Driving（翻译）
- 9. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
- 10. 【3D目标检测】Multi-View 3D Object Detection Network for Autonomous Driving论文综述（2016）