Submission: DPODv2 (synthetic train data, RGB + D Kabsch)/LM-O/RGB YOLO, RGB DPOD, Kabsch, ICP

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Submission name RGB YOLO, RGB DPOD, Kabsch, ICP
Submission time (UTC) July 21, 2022, 3:53 p.m.
User ivan_shugurov
Task 6D localization 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
AR:0.698
AR_MSPD:0.787
AR_MSSD:0.749
AR_VSD:0.557
average_time_per_image:0.387

Method: DPODv2 (synthetic train data, RGB + D Kabsch)

User ivan_shugurov
Publication
Implementation
Training image modalities RGB
Test image modalities RGB-D
Description

Inference completely in RGB, then the correspondences are projected in 3D

Computer specifications