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Semantic segmentation research benchmarks – Page 85 · SOTA2 Research

Semantic segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

GTA5 to IDD 19 categories (val)

46mIoU

4

Feb 26, 2026

Driving Scenes Dataset

95.45Pixel Acc

4

Feb 26, 2026

99.3Mean F1

4

Feb 26, 2026

Cross-City Tokyo

83.4Road IoU

4

Feb 26, 2026

Cross-City (Rio)

76.6Road IoU

4

Feb 26, 2026

PASCAL VOC reduced 2012 (val)

91.2Pixel Accuracy

4

Feb 26, 2026

Paris-Lille-3D (test)

88.9Accuracy

4

Feb 26, 2026

Stanford-2D-3D-Semantic

79.8Global Accuracy

4

Feb 26, 2026

Cityscapes (val)

2.9GFLOPS

4

Feb 26, 2026

SYNTHIA (Fall to Winter)

93.8Sky IoU

4

Feb 26, 2026

79.4Accuracy

4

Feb 26, 2026

M3ED Urban Day (test)

67.28mIoU

4

Feb 26, 2026

73mIoU

3

Jul 9, 2026

Generic Segmentation COCO Cityscapes

66.6mIoU

3

Jul 8, 2026

Cityscapes (val)

74.2mIoU

3

Jul 1, 2026

Cityscapes car category (val)

Mask2Former + FastSAM + VLM

74.2mIoU

3

Jul 1, 2026

Ensemble, per-class fusion (final)

75.4mIoU (component)

3

Jun 23, 2026

75.14Composite mIoU

3

Jun 23, 2026

Yamaguchi Seaweed Dataset (test)

81.8Pixel Accuracy

3

Jun 23, 2026

APD with GKL loss

39.75Student mIoU

3

Jun 18, 2026

RANUS (Exterior)

73.48Real Median mIoU

3

Jun 16, 2026

82.87Median mIoU (Real Data)

3

Jun 16, 2026

BinRushed RIGA (test)

80.51Dice Score

3

Jun 9, 2026

RIM-ONE DL (test)

83.68Dice Score

3

Jun 9, 2026

HeiPorSPECTRAL (test)

86.7PA

3

Jun 4, 2026

Page 85 of 95

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