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Models/CRF-RNN

CRF-RNN

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical3 results

Semantic SegmentationonPASCAL Context
mIoU· 2015-02-11
39.3
best: 71.1 (VPNeXt)
SOTA
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240
Semantic SegmentationonCityscapes test
Frame (fps)· 2015-02-11
1.4
best: 188.6 (STDC2-50)
SOTA
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240
Semantic SegmentationonCityscapes test
Time (ms)· 2015-02-11
700
best: 4000 (DeepLab)
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240

Audio3 results

10-shot image generationonPASCAL Context
mIoU· 2015-02-11
39.3
best: 71.1 (VPNeXt)
SOTA
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240
10-shot image generationonCityscapes test
Frame (fps)· 2015-02-11
1.4
best: 188.6 (STDC2-50)
SOTA
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240
10-shot image generationonCityscapes test
Time (ms)· 2015-02-11
700
best: 4000 (DeepLab)
Conditional Random Fields as Recurrent Neural Networks arXiv:1502.03240