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Models/UniMatch (DeepLab v3+ with ResNet-101)

UniMatch (DeepLab v3+ with ResNet-101)

Reported on 14 benchmarks across 2 tasks · 1 paper · 14 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical7 results

Semantic SegmentationonPascal VOC 2012 6.25% labeled
Validation mIoU· 2022-08-21
80.94
best: 82 (SemiOVS (w/ PrevMatch, ResNet-101))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonPASCAL VOC 2012 92 labeled
Validation mIoU· 2022-08-21
75.2
best: 87 (SemiOVS (w/ SemiVL, ViT-B/16))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonPASCAL VOC 2012 732 labeled
Validation mIoU· 2022-08-21
79.9
best: 90 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonPASCAL VOC 2012 25% labeled
Validation mIoU· 2022-08-21
80.43
best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCityscapes 100 samples labeled
Validation mIoU· 2022-08-21
73
best: 76.2 (SemiVL (ViT-B/16))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonPASCAL VOC 2012 366 labeled
Validation mIoU· 2022-08-21
78.8
best: 88.9 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonPASCAL VOC 2012 183 labeled
Validation mIoU· 2022-08-21
77.2
best: 87.9 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910

Audio7 results

10-shot image generationonPascal VOC 2012 6.25% labeled
Validation mIoU· 2022-08-21
80.94
best: 82 (SemiOVS (w/ PrevMatch, ResNet-101))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonPASCAL VOC 2012 92 labeled
Validation mIoU· 2022-08-21
75.2
best: 87 (SemiOVS (w/ SemiVL, ViT-B/16))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonPASCAL VOC 2012 732 labeled
Validation mIoU· 2022-08-21
79.9
best: 90 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonPASCAL VOC 2012 25% labeled
Validation mIoU· 2022-08-21
80.43
best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonCityscapes 100 samples labeled
Validation mIoU· 2022-08-21
73
best: 76.2 (SemiVL (ViT-B/16))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonPASCAL VOC 2012 366 labeled
Validation mIoU· 2022-08-21
78.8
best: 88.9 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonPASCAL VOC 2012 183 labeled
Validation mIoU· 2022-08-21
77.2
best: 87.9 (UniMatch V2 (DINOv2-B))
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910