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Models/S^2-FPN18

S^2-FPN18

Reported on 6 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.

Medical3 results

Semantic SegmentationonCamVid
Frame (fps)· 2022-06-15
124.2
best: 222.3 (PP-LiteSeg-T)
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298
Semantic SegmentationonCamVid
mIoU· 2022-06-15
69.5
best: 82 (PIDNet-M (Cityscapes-Pretrained))
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298
Semantic SegmentationonCityscapes
mIoU· 2022-06-15
76.2
best: 77.8 (SPFNet34M)
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298

Audio3 results

10-shot image generationonCamVid
Frame (fps)· 2022-06-15
124.2
best: 222.3 (PP-LiteSeg-T)
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298
10-shot image generationonCamVid
mIoU· 2022-06-15
69.5
best: 82 (PIDNet-M (Cityscapes-Pretrained))
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298
10-shot image generationonCityscapes
mIoU· 2022-06-15
76.2
best: 77.8 (SPFNet34M)
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation arXiv:2206.07298