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TODO

1. 待测试的网络

Yolo-6D (寻芝任)

paper: Real-Times Seamless Single Shot 6D Object Pose Prediction

code: https://github.com/Mmmofan/YOLO_6D

DenseFusion (徐隆)

paper: DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

code: https://github.com/MyoungHaSong/DenseFusion_ROS

6-PACK

paper: 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

code: https://github.com/j96w/6-PACK

Deep Object Pose Estimation (樊家乐)

paper: Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

code: https://github.com/NVlabs/Deep_Object_Pose

PVN3D (方莹)

paper: PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

code: https://github.com/ethnhe/PVN3D

2. 网络推断加速工具

3. 数据集录制+标注

4. 模型训练+调试

资料汇总