andy
25f73797e3
Affected files: .obsidian/graph.json .obsidian/workspace.json STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/CNN/FCN/FCN.md STEM/AI/Neural Networks/CNN/FCN/FlowNet.md STEM/AI/Neural Networks/CNN/FCN/Highway Networks.md STEM/AI/Neural Networks/CNN/FCN/ResNet.md STEM/AI/Neural Networks/CNN/FCN/Skip Connections.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/img/highway-vs-residual.png STEM/img/imagenet-error.png STEM/img/resnet-arch.png STEM/img/resnet-arch2.png STEM/img/skip-connections 1.png STEM/img/upconv-matrix-result.png STEM/img/upconv-matrix-transposed-result.png STEM/img/upconv-matrix.png STEM/img/upconv-transposed-matrix.png STEM/img/upconv.png
26 lines
488 B
Markdown
26 lines
488 B
Markdown
Optical Flow
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- 2-Channel optical flow
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- $dx,dy$
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- Two consecutive frames
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- 6-channel [[tensor]]
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![[flownet.png]]
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# [[Skip Connections]]
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- Further through the network information is condensed
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- Less high frequency information
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- Link encoder layers to [[upconv]] layers
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- Append activation maps from encoder to decoder
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# Encode
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![[flownet-encode.png]]
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# [[Upconv]]
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![[flownet-upconv.png]]
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# Training
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- Synthetic rendered objects
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- Real background images
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![[flownet-training.png]] |