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Semantic segmentation research benchmarks – Page 81 · SOTA2 Research

Semantic segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

M3M-CR Cloudy (CY)

0.005ECE

4

Mar 24, 2026

M3M-CR Cloud-Free (CF)

0.65ECE

4

Mar 24, 2026

25.57mIoU (Seen)

4

Mar 23, 2026

Other objects (towels and shopping bags)

86.7mIoU (Other Objects)

4

Mar 17, 2026

LERF-MASK ramen

77mIoU

4

Mar 11, 2026

LERF-MASK figurines

92.3mIoU

4

Mar 11, 2026

91.12Accuracy

4

Feb 26, 2026

66.5mIoU

4

Feb 26, 2026

66.2mIoU

4

Feb 26, 2026

44.8mIoU

4

Feb 26, 2026

Mapillary Vistas Mapi-30

51.9mIoU

4

Feb 26, 2026

82.7Pixel Accuracy

4

Feb 26, 2026

GTA5 to Mapillary (val)

39.1mIoU

4

Feb 26, 2026

GTA5 to BDDS (val)

39.6mIoU

4

Feb 26, 2026

SYNTHIA to Mapillary (test)

36.4mIoU

4

Feb 26, 2026

SYNTHIA to BDDS (test)

35.3mIoU

4

Feb 26, 2026

LoveDA Rural cross-sensor (test)

29.8mIoU

4

Feb 26, 2026

Beijing cross-sensor (test)

19.1mIoU

4

Feb 26, 2026

Selective Masking Image Reconstruction

73.9mIoU

4

Feb 26, 2026

Selective Masking Image Reconstruction

84.7mIoU

4

Feb 26, 2026

67.25IoU (Reflective)

4

Feb 26, 2026

82.9IoU

4

Feb 26, 2026

SHIFT Clear → Rainy (gradual environmental transitions)

0.497mIoU

4

Feb 26, 2026

SHIFT Clear → Foggy gradual environmental transitions

45.2mIoU

4

Feb 26, 2026

SHIFT Daytime → Night (gradual environmental transitions)

57.6mIoU

4

Feb 26, 2026

Page 81 of 95

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