| User | jysir |
|---|---|
| Publication | |
| Implementation | |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | We trained our model using PBR data, employing YOLOX for object detection and segmentation, and used default 3D models without ICP refinement. The architecture consisted of a single model for all objects within each dataset, combining object detection and pose regression. Author: Jysir |
| Computer specifications | RTX3090 |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2024-09-26 02:41 | - | LM-O | ||
| 2024-09-26 07:47 | - | YCB-V |