/AprilCampaign

Papers about DA,Semantic Segmentation and GAN

AprilCampaign

Papers about DA,Semantic Segmentation and GAN

DA

UDA

feature level

1.Learning to Adapt Structured Output Space for Semantic Segmentation,CVPR 2018 github

2.Domain Adaptation for Structured Output via Discriminative Patch Representations,ICCV 2019, paper

semi-supervised method(mainly self-training)

1.Domain Adaptation for Semantic Segmentation with Maximum Squares Loss,ICCV 2019

2.Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training,ECCV 2018

Multi Source DA

1.SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation,ICCV 2019

Medical Image

Segmentation