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

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Submission name DLZDet-PBR1
Submission time (UTC) Oct. 16, 2022, 4:41 p.m.
User USTC-IAT-United
Task Model-based 2D segmentation 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:0.452
AP50:0.794
AP75:0.462
AP_large:0.456
AP_medium:0.460
AP_small:0.069
AR1:0.515
AR10:0.553
AR100:0.553
AR_large:0.529
AR_medium:0.554
AR_small:0.275
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