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Models/FasterSeg

FasterSeg

Reported on 10 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical5 results

Semantic SegmentationonBDD
mIoU· 2019-12-23
55.1
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
Semantic SegmentationonCityscapes test
Frame (fps)· 2019-12-23
163.9
best: 188.6 (STDC2-50)
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
Semantic SegmentationonCityscapes val
Frame (fps)· 2019-12-23
163.9
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
Semantic SegmentationonCityscapes val
mIoU· 2019-12-23
73.1
best: 90.3 (EfficientPS (Cityscapes-fine))
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
Semantic SegmentationonCityscapes test
Time (ms)
6.1
best: 4000 (DeepLab)

Audio5 results

10-shot image generationonBDD
mIoU· 2019-12-23
55.1
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
10-shot image generationonCityscapes test
Frame (fps)· 2019-12-23
163.9
best: 188.6 (STDC2-50)
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
10-shot image generationonCityscapes val
Frame (fps)· 2019-12-23
163.9
SOTA
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
10-shot image generationonCityscapes val
mIoU· 2019-12-23
73.1
best: 90.3 (EfficientPS (Cityscapes-fine))
FasterSeg: Searching for Faster Real-time Semantic Segmentation arXiv:1912.10917
10-shot image generationonCityscapes test
Time (ms)
6.1
best: 4000 (DeepLab)