| Submission name | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | Jan. 14, 2024, 4:24 p.m. | ||||||||||
| User | SEU_WYL | ||||||||||
| Task | 6D localization of seen objects | ||||||||||
| Dataset | IC-BIN | ||||||||||
| Description | |||||||||||
| Evaluation scores |
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| User | SEU_WYL |
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| 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) Batch Size: 12 Epoch: 60k Learning Rate: 0.0002 GPU: RTX3080 CPU: E5-2680 v4 (7 vCPU) |
| Computer specifications |