Submission: DLZDet-PBR1/ITODD/DLZDet-PBR1

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Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 7:32 p.m.
User USTC-IAT-United
Task Model-based 2D detection 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:0.344
AP50:0.531
AP75:0.399
AP_large:0.342
AP_medium:0.448
AP_small:-1.000
AR1:0.170
AR10:0.564
AR100:0.623
AR_large:0.630
AR_medium:0.566
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