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Semantic segmentation research benchmarks – Page 92 · SOTA2 Research

Semantic segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

AI2THOR ProcThor-1500 (test)

71.5mIoU

2

Feb 26, 2026

Cityscapes-C level-5

68.5Motion Blur

2

Feb 26, 2026

ShapeNet-Part planes (test)

Learnable Earth Parser

68.6mIoU

2

Feb 26, 2026

21.55mIoU

2

Feb 26, 2026

69.17ASR

2

Feb 26, 2026

56.04mIoU

2

Feb 26, 2026

72.88mIoU

2

Feb 26, 2026

Five-Billion-Pixels

74.46mIoU

2

Feb 26, 2026

Stanford 2D3DS (Area 5)

46.1mIoU

2

Feb 26, 2026

2.76FPS

2

Feb 26, 2026

20.7mIoU

2

Feb 26, 2026

nuScenes to KITTI, 10 classes (val)

79.03mIoU

2

Feb 26, 2026

KITTI Synth4D to KITTI, 7 classes (val)

83.25mIoU

2

Feb 26, 2026

16.7FPS

2

Feb 26, 2026

15.9FPS

2

Feb 26, 2026

97.1bed Accuracy

2

Feb 26, 2026

52.6mIoU (0.1%)

2

Feb 26, 2026

S3DIS ScanNet B15 N4 partition (test)

48.5mIoU

2

Feb 27, 2026

S3DIS ScanNet B19/N0 partition (test)

50.2mIoU

2

Feb 27, 2026

BDD100K disjoint-balance setting (test)

61.8mIoU (SS)

2

Feb 26, 2026

Cityscapes (val)

83.9mIoU (Single Scale)

2

Feb 26, 2026

ADE20K 150 classes

20.5mIoU

2

Feb 26, 2026

CVC-Clinic-DB (test)

84.02mIoU

2

Feb 26, 2026

SemanticKITTI hidden (test)

Cylinder3D + Ours

65.4mIoU

2

Feb 26, 2026

COCO-Stuff (All partition)

40.38Accuracy

2

Feb 26, 2026

Page 92 of 95

Popular datasets

Cityscapes Pascal VOC ADE20K COCO ScanNet

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