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Models/TD2-PSP50

TD2-PSP50

Reported on 10 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.

Medical5 results

Semantic SegmentationonCamVid
mIoU· 2020-04-03
76
best: 82 (PIDNet-M (Cityscapes-Pretrained))
SOTA
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
Semantic SegmentationonNYU Depth v2
Mean IoU· 2020-04-03
43.5
best: 63.6 (OmniVec2)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
Semantic SegmentationonCamVid
Time (ms)· 2020-04-03
90
best: 227 (Dilation10)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
Semantic SegmentationonNYU Depth v2
Speed(ms/f)· 2020-04-03
35
best: 72 (PSPNet101)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
Semantic SegmentationonNYU Depth v2
mIoU· 2020-04-03
43.5
best: 54.1 (AsymFormer)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800

Audio5 results

10-shot image generationonCamVid
mIoU· 2020-04-03
76
best: 82 (PIDNet-M (Cityscapes-Pretrained))
SOTA
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
10-shot image generationonNYU Depth v2
Mean IoU· 2020-04-03
43.5
best: 63.6 (OmniVec2)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
10-shot image generationonCamVid
Time (ms)· 2020-04-03
90
best: 227 (Dilation10)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
10-shot image generationonNYU Depth v2
Speed(ms/f)· 2020-04-03
35
best: 72 (PSPNet101)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800
10-shot image generationonNYU Depth v2
mIoU· 2020-04-03
43.5
best: 54.1 (AsymFormer)
Temporally Distributed Networks for Fast Video Semantic Segmentation arXiv:2004.01800