Submission: DLZDet-PBR1/ITODD/DLZDet-PBR1

Download submission
Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 4:40 p.m.
User USTC-IAT-United
Task Model-based 2D segmentation of seen objects
Dataset ITODD
Training model type Default
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AP:0.239
AP50:0.445
AP75:0.237
AP_large:0.237
AP_medium:0.264
AP_small:-1.000
AR1:0.126
AR10:0.377
AR100:0.399
AR_large:0.401
AR_medium:0.315
AR_small:-1.000
average_time_per_image:-1.000

Method: DLZDet-PBR1

User USTC-IAT-United
Publication Title, Conference 2015.
Implementation MMDET
Training image modalities RGB
Test image modalities RGB
Description
Computer specifications 3090