Method: FFB6D-CVPR21-PBR-NoRefinement

User YishengHe
Publication Yisheng He et al.: FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation, CVPR 2021 (Oral)
Training image modalities RGB-D
Test image modalities RGB-D

FFB6D is a full flow bidirectional fusion network designed for 6D pose estimation from a single RGBD image. We only use the PBR data for training. The predicted result is not refined by any iterative refinement algorithms, i.e., ICP.

Computer specifications CPU: Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz; GPU: GeForce RTX 2080Ti

Public submissions

Date Submission name Dataset
2021-12-27 04:25 - YCB-V
2021-12-27 08:01 - LM
2021-12-27 08:30 - LM-O