BOP: Benchmark for 6D Object Pose Estimation

Available tasks:
Model-based tasks on seen objects: 6D detection 2D detection
Model-based tasks on unseen objects: 6D detection 2D detection
Model-free tasks on unseen objects: 6D detection 2D detection

Model-based 6D detection of unseen objects – HOPEv2

This leaderbord shows the ranking for Model-based 6D detection of unseen objects on HOPEv2. The reported time is the average time to generate predictions for all objects in a single image (averaged over the datasets).

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	Date (UTC)	Submission	Views	Test image	AP	AP_MSSD	AP_MSPD	Time (s)
1	2024-09-23	GigaPose + GenFlow (threshold = 0.6)	Single	RGB	0.411	0.346	0.475	6.733
2	2024-11-20	OPFormer-Megapose refinement (CNOS)	single	RGB	0.392	0.337	0.447	5.774
3	2024-09-23	GigaPose + GenFlow	Single	RGB	0.358	0.302	0.413	6.184
4	2024-11-20	OPFormer-Coarse (CNOS)	Single	RGB	0.351	0.272	0.431	1.190
5	2024-09-23	GigaPose-CVPR24	single	RGB	0.167	0.046	0.288	1.138

Showing 1 to 5 of 5 entries

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Latest submissions to this leaderboard:

2024-11-20 22:49 - OPFormer-Megapose refinement (CNOS) - HOPEv2 by morozart
2024-11-20 17:20 - OPFormer-Coarse (CNOS) - HOPEv2 by morozart
2024-09-23 13:06 - GigaPose + GenFlow - HOPEv2 - threshold = 0.6 by sp9103
2024-09-23 11:48 - GigaPose-CVPR24 - HOPEv2 by sp9103
2024-09-23 07:43 - GigaPose + GenFlow - HOPEv2 by sp9103