Method: GDRNPPDet_PBRReal

User zyMeteroid
Publication Not yet
Implementation Pytorch, code can be found at
Training image modalities RGB
Test image modalities RGB

GDRNPPDet for BOP2022

Authors: Xingyu Liu, Ruida Zhang, Chenyangguang Zhang, Bowen Fu, Jiwen Tang, Xiquan Liang, Jingyi Tang, Xiaotian Cheng, Yukang Zhang, Gu Wang, and Xiangyang Ji (Tsinghua University).

In the PBRReal setting, for LMO, HB, ICBIN and ITODD datasets, we only use the provided synthetic training data (PBR) in training. While for YCBV, TUDL, TLESS, we use the provided real data and synthetic data (PBR) in training. We trained one model for each dataset.

GDRNPPDet was based on YOLOX. We used stronger data augmentation and ranger optimizer.

Computer specifications GPU RTX 3090; CPU AMD EPYC 7H12 64-Core Processor.

Public submissions

Date Submission name Dataset
2022-10-14 12:28 - YCB-V
2022-10-14 12:28 - TUD-L
2022-10-14 12:40 - ITODD
2022-10-14 12:23 - IC-BIN
2022-10-14 12:23 - HB
2022-10-14 12:21 - T-LESS
2022-10-14 12:20 - LM-O