Submission: GDet2023-PBR/TUD-L

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Submission name
Submission time (UTC) Sept. 26, 2023, 8:46 a.m.
User zyMeteroid
Task Model-based 2D detection of seen objects
Dataset TUD-L
Description
Evaluation scores
AP:0.755
AP50:0.982
AP75:0.928
AP_large:0.738
AP_medium:0.766
AP_small:0.676
AR1:0.789
AR10:0.800
AR100:0.800
AR_large:0.781
AR_medium:0.798
AR_small:0.675
average_time_per_image:0.200

Method: GDet2023-PBR

User zyMeteroid
Publication Not yet
Implementation Pytorch
Training image modalities RGB
Test image modalities RGB
Description

Submitted to: BOP Challenge 2023

Training data: only provided PBR

Used 3D models: None

Notes:

Authors: Ruida Zhang, Ziqin Huang, Gu Wang, Xingyu Liu, Chenyangguang Zhang and Xiangyang Ji. (Tsinghua University)

GDet2023 is based on YOLOv8, with stronger data augmentation and ranger optimizer.

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