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Semantic segmentation research benchmarks – Page 62 · SOTA2 Research

Semantic segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

75.66OA

7

Feb 26, 2026

31.8mIoU

7

Feb 26, 2026

Matterport3D 160

23.6mIoU

7

Feb 26, 2026

DeepGlobe (val)

64.38mIoU

7

Feb 26, 2026

Semantic KITTI reduced set 360 (val)

UniLiPS (Propagated)

68.3mIoU

7

Feb 26, 2026

H3D STPLS3D → H3D (test)

84.83IoU (Ground)

7

Feb 26, 2026

95.8Car IoU

7

Feb 26, 2026

South Asian Megacities unseen cities, 30% labeled source data

46.1mIoU

7

Feb 26, 2026

South Asian Megacities unseen cities 20% labeled source data

0.452mIoU

7

Feb 26, 2026

South Asian Megacities unseen cities, 10% labeled source data

46.1mIoU

7

Feb 26, 2026

CVC-ClinicDB (val)

95.6Dice

7

Feb 26, 2026

Kvasir-SEG (val)

94.7Dice

7

Feb 26, 2026

Cityscapes 17 (val)

84.8mIoU

7

Feb 26, 2026

81.9Accuracy

7

Feb 26, 2026

79.57Accuracy

7

Feb 26, 2026

80.02Acc

7

Feb 26, 2026

86.12Accuracy

7

Feb 26, 2026

86.12Accuracy

7

Feb 26, 2026

80.02Acc

7

Feb 26, 2026

79.57Accuracy

7

Feb 26, 2026

EXPo Quadruped to Drone 1.0 (test)

79.57Accuracy

7

Feb 26, 2026

EXPo drone to quadruped 1.0 (test)

Target (Oracle)

80.02Accuracy (Overall)

7

Feb 26, 2026

EXPo Drone-to-Quadruped v1 (test)

80.02Accuracy

7

Feb 26, 2026

EXPo Drone-to-Vehicle target v1 (test)

86.12Acc

7

Feb 26, 2026

EXPo quadruped to vehicle v1.0

86.12Accuracy

7

Feb 26, 2026

Page 62 of 95

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Cityscapes Pascal VOC ADE20K COCO ScanNet

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