Submission: DLZDet-PBR1/LM-O/DLZDet-PBR1

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Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 7:46 p.m.
User USTC-IAT-United
Task Model-based 2D detection of seen objects
Dataset LM-O
Training model type Default
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AP:0.706
AP50:0.942
AP75:0.838
AP_large:0.745
AP_medium:0.742
AP_small:0.519
AR1:0.750
AR10:0.783
AR100:0.790
AR_large:0.813
AR_medium:0.820
AR_small:0.558
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