'Segmentation' 카테고리의 설명


#1

Image

Semantic Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

  • #2015
  • 1-class Instance Segmentation
  • End-to-end
  • Medical Image Segmentation에서 자주 사용되는 모델
  • Deconvolution, Feature Crop & Concat, Mirror Padding 등을 섬세하게 잘 설계

FusionNet - A deep fully residual convolutional neural network for image segmentation in connectomics

  • #2016
  • 뇌지도를 그리는 분야에서 적용된 사례
  • Residual을 활용한 End-to-end semantic segmentation model

Size-constraint loss for weakly supervised CNN segmentation

Video

[Clockwork Convnets for Video Semantic Segmentation]