BOP: Benchmark for 6D Object Pose Estimation
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Submission: DOPE/HOPE/DOPE-400
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Submission name
DOPE-400
Submission time (UTC)
Oct. 6, 2021, 5:16 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:
0.357
AR_MSPD:
0.498
AR_MSSD:
0.297
AR_VSD:
0.277
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