Object-level Representation on Real Indoor Dataset benchmark leaderboard · SOTA2 Research

Object-level Representation on Real Indoor Dataset

100PrecisionGauss PDA

Evaluation Results

Method	Links
Gauss PDA2026.06		100	4.8	9.1
Gauss PDA2026.06		100	50	66.7
MMSS2026.06		100	4.8	9.1
MMSS2026.06		100	25	40
MMNH2026.06		100	9.5	17.4
MMNH2026.06		100	25	40
MHJCBB2026.06		100	23.8	38.5
MHJCBB2026.06		100	75	85.7
MH-iSAM22026.06		100	100	100
k-best2026.06		100	75	85.7
BPDA-GMM2026.06		100	75	85.7
SGBA2026.06		92.9	61.9	74.3
BPDA-GMM2026.06		92.9	61.9	74.3
k-best2026.06		88.9	38.1	53.3
MMSS2026.06		80.6	69.4	74.6
MMNH2026.06		79.3	63.9	70.8
MH-iSAM22026.06		77.8	33.3	46.7
BPDA-GMM2026.06		77.2	72.6	74.8
BPDA-GMM2026.06		77.1	75	76.1
SGBA2026.06		75	75	75
MMSS2026.06		74	44	55.2
Gauss PDA2026.06		73.7	77.8	75.7
SGBA2026.06		71.4	69.4	70.4
MMNH2026.06		70.6	42.9	53.3
MMSS2026.06		70	38.9	50
MMNH2026.06		70	38.9	50
MH-iSAM22026.06		70	77.8	73.7
BPDA-GMM2026.06		70	77.8	73.7
SlideSLAM2026.06		68.4	72.2	70.3
SlideSLAM2026.06		68.1	38.1	48.9
SlideSLAM2026.06		66.7	19	29.6
SlideSLAM2026.06		66.7	11.1	19
SGBA2026.06		64.4	69	66.7
MH-iSAM22026.06		63.6	75	68.9
SGBA2026.06		63.2	66.7	64.9
Gauss PDA2026.06		62.9	52.4	57.1
Gauss PDA2026.06		61.5	44.4	51.6
MHJCBB2026.06		61.5	44.4	51.6
k-best2026.06		60.4	88.9	71.9
k-best2026.06		59.1	72.2	65
MHJCBB2026.06		58.1	59.5	58.8
k-best2026.06		57.7	71.4	63.8
MH-iSAM22026.06		57.6	94.4	71.6
MH-iSAM22026.06		57.1	80	66.7
BPDA-GMM2026.06		57.1	80	66.7
MHJCBB2026.06		55.4	86.1	67.4
MMSS2026.06		42.9	60	50
MMNH2026.06		33.3	60	42.9
MHJCBB2026.06		33.3	60	42.9
Gauss PDA2026.06		31.2	100	47.6
SGBA2026.06		27.8	100	43.5
k-best2026.06		23.5	80	36.4
SlideSLAM2026.06		0	0	0
SlideSLAM2026.06		0	0	0