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Models/UniMatch

UniMatch

Reported on 25 benchmarks across 4 tasks · 1 paper · 21 SOTA

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

Medical10 results

Medical Image SegmentationonACDC 5% labeled data
Dice (Average)· 2022-08-21
87.61
best: 88.75 (AD-MT)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Medical Image SegmentationonACDC 10% labeled data
Dice (Average)· 2022-08-21
89.92
best: 90.92 (SDCL)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Medical Image SegmentationonACDC 20% labeled data
Dice (Average)· 2022-08-21
90.47
best: 91.2 (PatchCL)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCOCO 1/512 labeled
Validation mIoU· 2022-08-21
31.9
best: 50.1 (SemiVL)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCOCO 1/256 labeled
Validation mIoU· 2022-08-21
38.9
best: 55.8 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCOCO 1/128 labeled
Validation mIoU· 2022-08-21
44.5
best: 58.7 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCOCO 1/64 labeled
Validation mIoU· 2022-08-21
48.2
best: 60.4 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonCOCO 1/32 labeled
Validation mIoU· 2022-08-21
49.8
best: 63.3 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonADE20K 1/16 labeled
Validation mIoU· 2022-08-21
31.5
best: 46.7 (UniMatch V2)
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Semantic SegmentationonADE20K 1/32 labeled
Validation mIoU· 2022-08-21
28.1
best: 45 (UniMatch V2)
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910

Computer Vision8 results

Change DetectiononWHU - 20% labeled data
IoU· 2022-08-21
81.7
best: 87.9 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononWHU - 5% labeled data
IoU· 2022-08-21
80.2
best: 81.8 (DiffMatch)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononWHU - 10% labeled data
IoU· 2022-08-21
81.7
best: 83.2 (DiffMatch)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononWHU - 40% labeled data
IoU· 2022-08-21
85.1
best: 88.6 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononLEVIR-CD - 10% labeled data
IoU· 2022-08-21
82
best: 83.8 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononLEVIR-CD - 5% labeled data
IoU· 2022-08-21
80.7
best: 83.3 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononLEVIR-CD - 20% labeled data
IoU· 2022-08-21
81.7
best: 84.3 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
Change DetectiononLEVIR-CD - 40% labeled data
IoU· 2022-08-21
82.1
best: 84.62 (C2F-SemiCD)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910

Audio7 results

10-shot image generationonCOCO 1/512 labeled
Validation mIoU· 2022-08-21
31.9
best: 50.1 (SemiVL)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonCOCO 1/256 labeled
Validation mIoU· 2022-08-21
38.9
best: 55.8 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonCOCO 1/128 labeled
Validation mIoU· 2022-08-21
44.5
best: 58.7 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonCOCO 1/64 labeled
Validation mIoU· 2022-08-21
48.2
best: 60.4 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonCOCO 1/32 labeled
Validation mIoU· 2022-08-21
49.8
best: 63.3 (UniMatch V2)
SOTA
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonADE20K 1/16 labeled
Validation mIoU· 2022-08-21
31.5
best: 46.7 (UniMatch V2)
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910
10-shot image generationonADE20K 1/32 labeled
Validation mIoU· 2022-08-21
28.1
best: 45 (UniMatch V2)
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation arXiv:2208.09910