Submission: DLZDet-PBR1/T-LESS/DLZDet-PBR1

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Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 7:09 p.m.
User USTC-IAT-United
Task Model-based 2D detection of seen objects
Dataset T-LESS
Training model type CAD
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AP:0.808
AP50:0.896
AP75:0.870
AP_large:0.837
AP_medium:0.788
AP_small:0.495
AR1:0.757
AR10:0.877
AR100:0.882
AR_large:0.908
AR_medium:0.855
AR_small:0.602
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