| User | SEU_WYL |
|---|---|
| Publication | WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation, ECCV 2026 |
| Implementation | https://github.com/WangYuLin-SEU/WAPR |
| Views | Single |
| Test image modalities | RGB-D |
| Description | WAPR is applied on top of the method at https://bop.felk.cvut.cz/method_info/1063/ to further refine the pose, i.e., it refines only the top 1 pose. The refinement is run for five iterations, and FoundationPose ScoreNet then selects the best output from six poses, including one initial pose and five refined poses. WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation, ECCV 2026 Wang, Yulin and Hu, Mengting and Li, Hongli and Zhou, Jianghao and Luo, Chen |
| Computer specifications |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2026-01-27 14:03 | - | LM-O | ||
| 2026-01-27 14:11 | - | IC-BIN | ||
| 2026-01-27 14:33 | - | TUD-L |