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
450 B
450 B
Cycle Consistent GAN
- G
x \rightarrow y
- F
y \rightarrow x
- Aims to bridge gap across domains
- Zebras-horses
- Audi-BMW
- Learn bidirectional mapping function
- Transitivity regularises training
x \rightarrow y'
y' \rightarrow x''
x == x''
- Cycle consistency
- Requires two datasets
- One for each domain
- Not directly paired
- Unlike edge map
\rightarrow
bag
- Unlike edge map