Submission: DLZDet-PBR1/TUD-L/DLZDet-PBR1

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Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 7:53 p.m.
User USTC-IAT-United
Task Model-based 2D detection of seen objects
Dataset TUD-L
Training model type Default
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AP:0.696
AP50:0.932
AP75:0.830
AP_large:0.715
AP_medium:0.701
AP_small:0.875
AR1:0.736
AR10:0.787
AR100:0.797
AR_large:0.792
AR_medium:0.797
AR_small:0.925
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