Submission name | |||||||||||
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Submission time (UTC) | Feb. 29, 2024, 12:01 p.m. | ||||||||||
User | SEU_WYL | ||||||||||
Task | 6D localization of seen objects | ||||||||||
Dataset | TUD-L | ||||||||||
Description | |||||||||||
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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 |