Method: GPose2023-OfficialDet

User zyMeteroid
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.

Public submissions

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