| Submission name | |||||||||||||||||||||||||||
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| Submission time (UTC) | Dec. 29, 2024, 6:30 p.m. | ||||||||||||||||||||||||||
| User | SEU_WYL | ||||||||||||||||||||||||||
| Task | Model-based 2D segmentation of seen objects | ||||||||||||||||||||||||||
| Dataset | TUD-L | ||||||||||||||||||||||||||
| 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 | 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 | RTX4090D |