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Models/HyperSeg-L

HyperSeg-L

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

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

Medical3 results

Semantic SegmentationonCamVid
mIoU· uses extra data· 2020-12-21
79.1
best: 82 (PIDNet-M (Cityscapes-Pretrained))
SOTA
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
Semantic SegmentationonCamVid
Frame (fps)· uses extra data· 2020-12-21
16.6
best: 222.3 (PP-LiteSeg-T)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
Semantic SegmentationonCamVid
Time (ms)· uses extra data· 2020-12-21
60.2
best: 227 (Dilation10)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582

Audio3 results

10-shot image generationonCamVid
mIoU· uses extra data· 2020-12-21
79.1
best: 82 (PIDNet-M (Cityscapes-Pretrained))
SOTA
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
10-shot image generationonCamVid
Frame (fps)· uses extra data· 2020-12-21
16.6
best: 222.3 (PP-LiteSeg-T)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
10-shot image generationonCamVid
Time (ms)· uses extra data· 2020-12-21
60.2
best: 227 (Dilation10)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582