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Image Segmentations

Basic Image Segmentation

FCN #1 - 라온피플 blog #1
FCN #2 - 라온피플 blog #2
Fully Convolutional Networks for Semantic Segmentation - 2015 paper
Learning Deconvolution Network for Semantic Segmentation - Hyeonwoo Noh, Seunghoon Hong, Bohyung Han - paper potech, paper cvfoundation.org

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks - 2015 paper
ReNet - 라온피플 blog

U-Net: Convolutional Networks for Biomedical Image Segmentation - Olaf Ronneberger, Philipp Fischer, Thomas Brox - 2015 paper
Attention U-Net: Learning Where to Look for the Pancreas - Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert - 2016 paper
[논문 소개] Attention U-Net: Learning Where to Look for the Pancreas - jiwoopapa blog

ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation - 2016 paper
L-RNN - Layer Recurrent Neural Networks - 2017 paper
ReSeg - 라온피플 #1

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials - 2012 paper
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials paper
Learning Deconvolution Network for Semantic Segmentation - 2015 paper
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs - 2016 paper
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs - 2017 paper
CRF - #2 DeepLab - 라온피플 blog
DeepLab - 라온피플 blog

(Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations)[https://arxiv.org/pdf/1511.01619.pdf]