andy
7052c8c915
Affected files: .obsidian/graph.json .obsidian/workspace.json STEM/AI/Neural Networks/CNN/FCN/FCN.md STEM/AI/Neural Networks/CNN/FCN/FlowNet.md STEM/AI/Neural Networks/CNN/FCN/Super-Resolution.md STEM/AI/Neural Networks/CNN/GAN/CycleGAN.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/GAN/cGAN.md STEM/AI/Neural Networks/CNN/Interpretation.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/img/am-process.png STEM/img/am.png STEM/img/fcn-arch.png STEM/img/fcn-eval.png STEM/img/fcn-uses.png STEM/img/flownet-encode.png STEM/img/flownet-training.png STEM/img/flownet-upconv.png STEM/img/flownet.png STEM/img/super-res.png STEM/img/superres-results.png
22 lines
450 B
Markdown
22 lines
450 B
Markdown
Cycle Consistent [[GAN]]
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- G
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- $x \rightarrow y$
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- F
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- $y \rightarrow x$
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- Aims to bridge gap across domains
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- Zebras-horses
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- Audi-BMW
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- Learn bidirectional mapping function
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- Transitivity regularises training
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- $x \rightarrow y'$
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- $y' \rightarrow x''$
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- $x == x''$
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- Cycle consistency
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- Requires two datasets
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- One for each domain
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- Not directly paired
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- Unlike edge map $\rightarrow$ bag
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![[cyclegan.png]]
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![[cyclegan-results.png]] |