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Machine Learning
Traditionals
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Image Classification (CNN)
Detection
Semantic Segmentation
Generative Adversarial Networks
Style Transfer
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Differientiable Sampling and Argmax
GAN theory
Multi-task Learning (MTL)
Disentanglement in GANs
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GitBook
Semantic Segmentation
sementic segmentation
Survey Papers
A Review on Deep Learning Techniques Applied to Semantic Segmentation
[1704.06857]
Resources
torchvision - semantic segmentation
CSAILVision/semantic-segmentation-pytorch
meetshah1995/pytorch-semseg
Tramac/awesome-semantic-segmentation-pytorch
speedinghzl/pytorch-segmentation-toolbox
Models
FCN
[1411.4038]
DeepLab v1
[1412.7062]
Unet
[1505.04597]
DeepLab v2
[1606.00915]
PSPNet
[1612.01105]
DeepLab v3
[1706.05587]
DeepLab v3+
[1802.02611]
HRNet
[1908.07919]
Using GANs
Semantic Segmentation using Adversarial Networks
[1611.08408]
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
[1706.01805]
SegGAN: Semantic Segmentation with Generative Adversarial Network
[BigMM 2018]
Others
Dataset
Post Processing
Conditional Random Field (CRF)
Metrics
Intersection over Union (IoU)
Machine Learning - Previous
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Generative Adversarial Networks
Last modified
1yr ago