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Models/FBR

FBR

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Medical4 results

Semantic SegmentationonCOCO 2014 val
mIoU· 2024-06-22
45.6
best: 56.8 (DHR (Swin-L, Mask2Former))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
Semantic SegmentationonPASCAL VOC 2012 train
Mean IoU· uses extra data· 2024-06-22
75.9
best: 80.4 (FMA-WSSS)
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
Semantic SegmentationonPASCAL VOC 2012 val
Mean IoU· uses extra data· 2024-06-22
74.2
best: 83.4 (SemPLeS (Swin-L))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
Semantic SegmentationonPASCAL VOC 2012 test
Mean IoU· uses extra data· 2024-06-22
74.9
best: 82.9 (SemPLeS (Swin-L))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755

Audio4 results

10-shot image generationonCOCO 2014 val
mIoU· 2024-06-22
45.6
best: 56.8 (DHR (Swin-L, Mask2Former))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
10-shot image generationonPASCAL VOC 2012 train
Mean IoU· uses extra data· 2024-06-22
75.9
best: 80.4 (FMA-WSSS)
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
10-shot image generationonPASCAL VOC 2012 val
Mean IoU· uses extra data· 2024-06-22
74.2
best: 83.4 (SemPLeS (Swin-L))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755
10-shot image generationonPASCAL VOC 2012 test
Mean IoU· uses extra data· 2024-06-22
74.9
best: 82.9 (SemPLeS (Swin-L))
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation arXiv:2406.15755