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 default detection. A network is trained for each object. |
Computer specifications | GPU RTX 3090; CPU AMD EPYC 7H12 64-Core Processor. |
Date | Submission name | Dataset | ||
---|---|---|---|---|
2023-08-15 09:06 | - | LM-O | ||
2023-08-15 09:06 | - | T-LESS | ||
2023-08-15 09:07 | - | IC-BIN | ||
2023-08-15 09:07 | - | ITODD | ||
2023-08-15 09:08 | - | YCB-V | ||
2023-08-15 09:10 | - | HB | ||
2023-09-24 08:55 | - | TUD-L |