| Submission name | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | Feb. 29, 2024, 9:16 a.m. | ||||||||||
| User | SEU_WYL | ||||||||||
| Task | Model-based 6D localization of seen objects | ||||||||||
| Dataset | HB | ||||||||||
| Description | |||||||||||
| Evaluation scores |
|
| User | SEU_WYL |
|---|---|
| Publication | |
| Implementation | |
| Training image modalities | RGB |
| Test image modalities | RGB |
| Description | Submitted to: BOP Challenge 2023 Training data: real + provided PBR Used 3D models: default Notes: Setting: One network (EfficientNet b4) per object was trained (without Refinement) 2D Bounding Box: YOLOX (GDRNPP) Authors: Temporary Anonymity |
| Computer specifications | GPU: RTX3080 CPU: E5-2680 v4 (7 vCPU) |