| User | CW_FLOYD |
|---|---|
| Publication | Not yet |
| Implementation | |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | Based on FFB6D model, we constrained ROI of RGBD images with YOLOv5 detection model. Also add skip connection from encoder to decoder of FFB6D model. For multi-level fusion with skip connection, we use channel wise attention to filter meaningful feature. |
| Computer specifications | NVIDIA RTX A4000 |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2023-06-29 08:00 | submission1 | LM-O |