Submission name | |||||||||||
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Submission time (UTC) | Sept. 26, 2023, 8:24 a.m. | ||||||||||
User | zyMeteroid | ||||||||||
Task | Model-based 6D localization of seen objects | ||||||||||
Dataset | T-LESS | ||||||||||
Description | |||||||||||
Evaluation scores |
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User | zyMeteroid |
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Publication | Not yet |
Implementation | Pytorch |
Training image modalities | RGB-D |
Test image modalities | RGB-D |
Description | Submitted to: BOP Challenge 2023 Training data: real + provided PBR Used 3D models: Reconstructed for T-LESS, default for other datasets Notes: Authors: Ruida Zhang, Ziqin Huang, Gu Wang, Xingyu Liu, Chenyangguang Zhang and Xiangyang Ji. (Tsinghua University) GDRNPP + coordinate-guided depth refinement, using GDet2023 as detection. A network is trained for each object. |
Computer specifications | GPU RTX 3090; CPU AMD EPYC 7H12 64-Core Processor. |