| User | YishengHe |
|---|---|
| Publication | Yisheng He et al.: FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation, CVPR 2021 (Oral) |
| Implementation | https://github.com/ethnhe/FFB6D |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | 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 |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2021-12-27 04:25 | - | YCB-V | ||
| 2021-12-27 08:01 | - | LM | ||
| 2021-12-27 08:30 | - | LM-O |