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Models/FMA-WSSS (Swin-L)

FMA-WSSS (Swin-L)

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical3 results

Semantic SegmentationonPASCAL VOC 2012 val
Mean IoU· 2023-12-06
82.6
best: 83.4 (SemPLeS (Swin-L))
SOTA
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585
Semantic SegmentationonPASCAL VOC 2012 test
Mean IoU· 2023-12-06
81.6
best: 82.9 (SemPLeS (Swin-L))
SOTA
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585
Semantic SegmentationonCOCO 2014 val
mIoU· 2023-12-06
55.4
best: 56.8 (DHR (Swin-L, Mask2Former))
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585

Audio3 results

10-shot image generationonPASCAL VOC 2012 val
Mean IoU· 2023-12-06
82.6
best: 83.4 (SemPLeS (Swin-L))
SOTA
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585
10-shot image generationonPASCAL VOC 2012 test
Mean IoU· 2023-12-06
81.6
best: 82.9 (SemPLeS (Swin-L))
SOTA
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585
10-shot image generationonCOCO 2014 val
mIoU· 2023-12-06
55.4
best: 56.8 (DHR (Swin-L, Mask2Former))
Foundation Model Assisted Weakly Supervised Semantic Segmentation arXiv:2312.03585