Object Pose Estimation on LINEMOD (test) benchmark leaderboard · SOTA2 Research

Object Pose Estimation on LINEMOD (test)

97.2APEours IL

Evaluation Results

Method	Links
ours IL2021.03		97.2	—	99	99.6	99.8	98.8	96.9	99.8	99.2	98.4	97.9	99.8	97.7	98.7	99.6
ours IL+RL2021.03		96.9	—	99.3	99.5	99.7	99	96.6	99.9	99.4	98.6	97.5	99.7	97.8	98.7	99.6
BPnP2019.09		93.75	86	90.5	92.75	96.75	84.5	91.5	92.5	94	91.75	87.25	86.75	92.25	90.79	—
DenseFusion ref.2021.03		92.3	—	94.4	93.1	96.5	87	92.3	99.8	100	92.1	97	95.3	92.8	94.3	93.2
BPnP2019.09		90	86	91.5	93.25	96.75	83.75	88.5	92.75	93.5	92.25	86.75	85	91.5	90.12	—
DPOD ref.2021.03		87.7	—	96.1	99.7	94.7	98.8	86.3	99.9	96.8	86.9	100	96.8	94.7	95.1	98.5
BPnP2019.09		86.75	82.75	81.5	89	95.25	81.5	84	93.25	90	90.25	79.75	83.25	88	86.56	—
DenseFusion2021.03		79.5	—	76.5	86.6	88.8	77.7	76.3	99.9	99.4	79	92.1	92.3	88	86.2	84.2
ICP-based2021.03		79.1	—	93.5	98.7	96	84.2	84.1	98.4	99.1	97.2	90.6	94	85.8	92.1	97.9
DeepIM2021.03		78.7	—	97.8	97.6	85.2	91.6	80.2	99.7	99.5	75.7	99.7	98.2	91.4	91.8	98.4
DeepIM2021.03		77	—	93.5	96.5	82.1	95	77.7	97.1	99.4	52.8	98.3	97.5	87.7	88.6	97.5
BPnP2019.09		74.75	99	96.25	98	94.25	99.25	78.5	96.5	90	91.5	97.75	99.75	97	93.27	—
BPnP2019.09		74	98.5	96.25	97	93	98.5	76.25	95.75	87.5	89.5	97.75	99.75	95.75	92.27	—
PFRL2021.03		60.5	—	64.6	91.3	82.9	92	55.2	99.4	93.3	66.7	75.8	96.6	69.1	79.7	88.9
BPnP2019.09		56.75	98	83.75	94.75	85.25	98	49.25	93.25	76.25	80.25	96.5	98.5	96	85.12	—
DPOD2021.03		53.3	—	90.4	94.1	60.4	97.7	66	99.7	93.8	65.8	99.8	88.1	74.2	83	95.3
PVNet2019.09		43.62	99.9	86.86	95.47	79.34	96.43	52.58	99.15	95.66	81.92	98.88	99.33	92.41	86.27	—
PoseCNN2021.03		27.8	—	47.5	71.4	56.7	65.4	42.8	98.3	95.6	50.9	65.6	70.3	54.6	62.8	68.9