Semantic Segmentation on DLRSD benchmark leaderboard · SOTA2 Research

Semantic Segmentation on DLRSD

91.58mIoURSKT-Seg

Evaluation Results

Method	Links
RSKT-Seg2026.04		91.58	95.41
DR-Seg2026.04		91.13	95.15
DR-Seg2026.04		90.91	95.27
RSKT-Seg2026.04		90.6	94.89
OVRS2026.04		88.85	93.64
Cat-Seg2026.04		88.68	93.34
SED2026.04		87.68	91.24
SAN2026.04		86.45	91.25
GSNet2026.04		86.02	91.48
OVRS2026.04		85.98	91.52
Cat-Seg2026.04		85.84	91.44
SAN2026.04		85.73	91.03
SED2026.04		85.13	91.36
GSNet2026.04		84.12	90.53
SCAN2026.04		52.42	72.43
SCAN2026.04		48.52	68.68
Pi-Seg2026.04		33.67	59.44
OVRS2026.04		32.25	60.35
OVRS2026.04		32.25	60.35
DR-Seg2026.04		31.98	64.06
RSKT-Seg2026.04		31.57	61.66
RSKT-Seg2026.04		31.57	61.66
GSNet2026.04		31.5	63.05
GSNet2026.04		31.5	63.05
DR-Seg2026.04		28.84	59.22
Cat-Seg2026.04		28.8	59.56
Cat-Seg2026.04		28.8	59.56
GSNet2026.04		26.2	57.07
GSNet2026.04		26.2	57.07
RSKT-Seg2026.04		24.8	55.94
RSKT-Seg2026.04		24.8	55.94
SED2026.04		23.8	50.36
SED2026.04		23.8	50.36
Pi-Seg2026.04		23.62	50.82
SED2026.04		21.48	45.15
SED2026.04		21.48	45.15
SCAN2026.04		21.44	53.26
SCAN2026.04		21.44	53.26
OVRS2026.04		21.06	45.48
OVRS2026.04		21.06	45.48
SAN2026.04		20.54	49.32
SAN2026.04		20.54	49.32
Cat-Seg2026.04		20.41	44.08
Cat-Seg2026.04		20.41	44.08
SAN2026.04		18.82	42.36
SAN2026.04		18.82	42.36
SCAN2026.04		16.09	38.25
SCAN2026.04		16.09	38.25