Submission: DPODv2 (synthetic train data, RGBD)/HB/RGB YOLO, Depth DPOD, Kabsch, ICP

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Submission name RGB YOLO, Depth DPOD, Kabsch, ICP
Submission time (UTC) July 21, 2022, 3:11 p.m.
User ivan_shugurov
Task 6D localization of seen objects
Dataset HB
Training model type Default
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AR:0.468
AR_MSPD:0.473
AR_MSSD:0.468
AR_VSD:0.462
average_time_per_image:0.470

Method: DPODv2 (synthetic train data, RGBD)

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

YOLO on RGB, DPOD on depth + Kabsch

Computer specifications