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Papers Benchmarks Datasets Tasks

Image Segmentation research benchmarks – Page 4 · SOTA2 Research

Image Segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Adaptformer + SAM-COBOT

82.4mIoU

6

Feb 26, 2026

Adaptformer + SAM-COBOT

84mIoU

6

Feb 26, 2026

Adaptformer + SAM-COBOT

74.1mIoU

6

Feb 26, 2026

Factorized Diffusion Architectures

56.1mIoU

6

Feb 26, 2026

71.53Dice

6

Feb 26, 2026

ImageNet segmentation

70.36Pixel Accuracy

6

Feb 26, 2026

95.85Dice Coefficient

5

Jun 9, 2026

89.07Dice Score

5

Jun 9, 2026

Decathlon heart MRI (test)

real training set

82.3Dice Coefficient

5

Mar 25, 2026

AVT aorta CT (test)

real training set

90.4Dice Score

5

Mar 25, 2026

CHAOS liver (CT) (test)

real training set

89.7Dice Score

5

Mar 25, 2026

NeuN stained images

79Dice

5

Mar 17, 2026

DUT-OMRON (test)

90.5Dice

5

Feb 26, 2026

91Dice

5

Feb 26, 2026

93.02Average Score

5

Feb 26, 2026

Images250 (test)

96.82Precision

5

Feb 26, 2026

76.62DSC

5

Feb 26, 2026

88.78DSC

5

Feb 26, 2026

HAM10000 47 (test)

78.8mIoU

5

Feb 26, 2026

NVIDIA TITAN RTX Inference Benchmark

8.6Speed Up

5

Feb 26, 2026

LVIS Robust-Seg (test)

75.06Degrade IoU

5

Feb 26, 2026

PROMISE12 3D transversal T2-weighted MR images (test)

80.83Dice

5

Feb 26, 2026

Factorized Diffusion Architectures

90.1Accuracy

5

Feb 26, 2026

Full supervision

51.2Dice Coefficient

5

Feb 26, 2026

EncNet + JPU-CASSOD-D with BN and ReLU

80.48Pixel Accuracy

5

Feb 26, 2026

Page 4 of 6

Popular datasets

COCO LVIS ADE20K Pascal VOC MSD

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