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Submission: DOPE/HOPE/DOPE-50

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Submission name DOPE-50
Submission time (UTC) Oct. 6, 2021, 5:15 p.m.
User swtyree
Task 6D localization of seen objects
Dataset HOPE
Training model type Default
Training image type Synthetic (custom)
Description
Evaluation scores
AR:0.301
AR_MSPD:0.457
AR_MSSD:0.232
AR_VSD:0.215
average_time_per_image:-1.000

Method: DOPE

User swtyree
Publication Tremblay, et al., "Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects", CoRL 2018.
Implementation https://github.com/NVlabs/Deep_Object_Pose
Training image modalities RGB
Test image modalities RGB
Description
Computer specifications