| User | SEU_WYL |
|---|---|
| Publication | |
| Implementation | |
| Training image modalities | RGB |
| Test image modalities | RGB |
| Description | Submitted to: BOP Challenge 2023 Training data: real + provided PBR Training Datasets of LM-O are real and PBR-based datasets. Used 3D models: default Notes: Setting: One network (ResNet34) per object was trained (without Refinement) 2D Bounding Box: FCOS (ZebraPose) Batch Size: 24 Epoch: 38k Learning Rate: 0.0002 |
| Computer specifications |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2023-10-08 06:43 | - | LM-O | ||
| 2023-10-13 16:52 | - | YCB-V | ||
| 2023-10-18 11:23 | - | IC-BIN | ||
| 2023-10-22 04:07 | - | TUD-L |