6D Object Pose Estimation

Benchmarks

Dataset Name	SOTA Method	Metric
LINEMOD	FoundationPose	Average Accuracy99.9	50	4d ago
BOP 7 core datasets: LM-O, T-LESS, TUD-L, IC-BIN, ITODD, HB, YCB-V 82 (test)	FoundationPose	AR (LM-O)75.6	47	4d ago
OccludedLINEMOD (test)	OVE6D	ADD(S)82.5	45	4d ago
BOP Core Datasets Challenge (test)	GDRNPP (YOLOX)	LM-O Score80.5	42	4d ago
Occlusion LINEMOD	Tekin	Average Error6.16	27	4d ago
LM-O (test)	HiPose	Recall (Mean)89.6	22	4d ago
T-LESS BOP challenge protocol PrimeSense (test)	OVE6D	VSD91	20	4d ago
Toyota-Light (TOYL) (test)	Any6D	AR43.3	18	4d ago
BOP challenge (test)	Co-op	LM-O AR65.5	18	4d ago
T-LESS Single Instance Single Object	DenseFusion	e_VSD0.1	15	4d ago
TUD-L	Diff-RPMNet	mAP (5 deg)0.9	14	4d ago
LineMOD standard (test)	EfficientPose	Avg Accuracy97.4	14	4d ago
T-LESS Primesense SIXD BOP 2018 (test)	Pix2Pose	Object Recall (errvsd < 0.3)29.5	14	4d ago
BOP (T-LESS, ITODD, YCB-V, LM-O) Challenge (test)	MRC-Net	LM-O Score68.5	13	4d ago
REAL275	ConceptPose	ADD(-S)71.5	11	4d ago
CAMERA25	THE-Pose	IoU@7592.4	9	4d ago
YCB-V BOP19 challenge (test)	CRISP-Syn+Picasso	ADD-S Mean0.008	9	4d ago
REAL275 (test)	FiCoP	AR65.9	8	4d ago
LineMOD-O	GDRNPP (GPose)	AR80.5	7	4d ago
General Inference Efficiency Benchmark (test)	One2Any	Inference Time (s)0.09	6	4d ago
SYMSOL	SO(3) Score Model	Average Error0.37	6	4d ago
BOP Benchmark LM-O YCB-V T-LESS Synthetic PBR data only 2023 (train)	HiPose	LM-O BOP Score79.9	6	4d ago
T-LESS (test)	MRC-Net	AR79.8	6	4d ago
T-LESS VIVO Varying Instance Varying Object	DenseFusion	ADI0.13	5	4d ago
Shelf & Tote APC (test)	3DMatch	Rotation Accuracy61	5	4d ago

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