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Models/Fast-SCNN

Fast-SCNN

Reported on 8 benchmarks across 4 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 SegmentationonEventScape
mIoU· 2019-02-12
44.27
best: 64.28 (CMX (B4))
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502
Semantic SegmentationonDADA-seg
mIoU· 2019-02-12
26.32
best: 46.97 (MMUDA)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502
Semantic SegmentationonPST900
mIoU· 2019-02-12
47.2
best: 89.8 (SHIFNet)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502

Audio3 results

10-shot image generationonEventScape
mIoU· 2019-02-12
44.27
best: 64.28 (CMX (B4))
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502
10-shot image generationonDADA-seg
mIoU· 2019-02-12
26.32
best: 46.97 (MMUDA)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502
10-shot image generationonPST900
mIoU· 2019-02-12
47.2
best: 89.8 (SHIFNet)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502

Computer Vision1 result

Scene SegmentationonPST900
mIoU· 2019-02-12
47.2
best: 89.8 (SHIFNet)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502

Methodology1 result

2D Object DetectiononPST900
mIoU· 2019-02-12
47.2
best: 89.8 (SHIFNet)
Fast-SCNN: Fast Semantic Segmentation Network arXiv:1902.04502