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Semantic segmentation research benchmarks – Page 69 · SOTA2 Research

Semantic segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

81.5IoU (Bui)

6

Feb 26, 2026

65.21IoU

6

Feb 26, 2026

69.54IoU

6

Feb 26, 2026

Stanford2D3D Panoramic SGA (val fold 1)

65.04mIoU

6

Feb 26, 2026

COCO-Stuff (C-Stf)

0.436Pixel Accuracy

6

Feb 26, 2026

Pascal VOC 2012 V20

93.9Pixel Accuracy

6

Feb 26, 2026

76pAcc

6

Feb 26, 2026

Pascal VOC 2012 V21

90.1Pixel Accuracy

6

Feb 26, 2026

0.009ECE (Cloudy)

6

Feb 26, 2026

0.001L_CE

6

Feb 26, 2026

0.035Log Loss (CE)

6

Feb 26, 2026

0.004L_CE

6

Feb 26, 2026

Oxford Pet small mask version - PET_S

0.179CE Loss

6

Feb 26, 2026

Oxford Pet full mask PET_F

0.648L_CE

6

Feb 26, 2026

ISIC Local (test)

Combined Training

87Class 1 Score

6

Feb 26, 2026

Polypgen Local (test)

Combined Training

0.71Class 1 Score

6

Feb 26, 2026

71.9mIoU

6

Feb 26, 2026

ZJU-RGB-P (test)

93mIoU

6

Feb 26, 2026

Average (BDD, MV, ACDC, DZ) (val)

55.11Average mIoU

6

Feb 26, 2026

Stanford2D3D Panoramic SPan8

63.73mIoU

6

Feb 26, 2026

51.48mIoU

6

Feb 26, 2026

94.5Vehicle Recall

6

Feb 26, 2026

Cityscapes (source) to {BDD100K, Mapillary, GTAV, SYNTHIA} (target) (train test)

54.07mIoU (BDD100K)

6

Feb 26, 2026

PASCAL VOC (732 labeled images)

81.21mIoU

6

Feb 26, 2026

PASCAL VOC 183 labeled images

78.47mIoU

6

Feb 26, 2026

Page 69 of 95

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