6D Object Pose Estimation on LineMOD standard (test) benchmark leaderboard · SOTA2 Research

6D Object Pose Estimation on LineMOD standard (test)

97.4Avg AccuracyEfficientPose

Evaluation Results

Method	Links
EfficientPose2021.04		97.4	89.4	99.7	98.5	99.7	96.2	99.5	89.2	100	100	95.7	99.1	100	98.5	6
RePOSE2021.04		96.1	79.5	100	99.2	99.8	97.9	99	80.3	100	98.3	96.9	100	99.8	98.9	8
DPOD2021.04		95.2	87.7	98.5	96.1	99.7	94.7	98.8	86.3	99.9	98.7	86.9	100	96.8	94.7	1
HybridPose2021.04		91.3	63.1	99.9	90.4	98.5	89.4	98.5	65	100	98.8	89.7	100	99.5	94.9	2
PVNet2021.04		86.3	43.6	99.9	86.9	95.5	79.3	96.4	52.6	99.2	95.7	81.9	98.9	99.3	92.4	0
Rad2019.08		78.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—
SSD-6D2019.08		76.7	65	80	78	86	70	73	66	100	100	49	78	73	79	—
Pix2Pose2019.08		72.4	58.1	91	60.9	84.4	65	76.3	43.8	96.8	79.4	74.8	83.4	82	45	—
Lienet2019.08		65.2	38.8	71.2	52.5	86.1	66.2	82.3	32.5	79.4	63.7	56.4	65.1	89.4	65	—
BB82019.08		62.7	40.4	91.8	55.7	64.1	62.6	74.4	44.3	57.8	41.2	67.2	84.7	76.5	54	—
Tekin2019.08		56	21.6	81.8	36.6	68.8	41.8	63.5	27.2	69.6	80	42.6	75	71.1	47.7	—
Brachmann2019.08		50.2	33.2	64.8	38.4	62.9	42.7	61.9	30.2	49.9	31.2	52.8	80	67	38.1	—
BB82019.08		43.6	27.9	62	40.1	48.1	45.2	58.6	32.8	40	27	42.4	67	39.9	35.2	—
Implicit2019.08		31.4	4	20.9	30.5	35.9	17.9	24	4.9	81	45.5	17.6	32	60.5	33.8	—