paper_reading

Transfer learning

看这里

Semi-DG-Segmentation

• Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

  Daiqing Li Junlin Yang Karsten Kreis Antonio Torralba. Sanja Fidler CVPR 2021 pdf code

  • Use generator and discriminator to do this problem

• Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

  Xiao Liu, Spyridon Thermos, Alison O’Neil. and Sotirios A. Tsaftaris MICCAI 2021 arXiv code

  • Meta-learning

Semi-DG

• Semi-Supervised Domain Generalization with Stochastic StyleMatch

  Nanyang Technological University, Singapore. NeurIPS 2021 workshop arXiv code

  • 简单参考一下吧 workshop的文章

• Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization

  出处不详. arXiv

  • 简单参考一下

• Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline

  目前还是preprint arXiv

  • 简单参考一下
  • 

Semi-DA

• Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

  Bo Li Yezhen Wang Shanghang Zhang Dongsheng Li Kurt Keutzer Trevor Darrell Han Zhao ICCV pdf code

  • 可以看看

Semi-Segmentation

• Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

  Xiaokang Chen Yuhui Yuan Gang Zeng Jingdong Wang CVPR 2021 arXiv code

  • CPS

• Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation

  Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu CVPR 2021 arXiv

  • Use two teacher and Knowledge distillation

• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

  Xin Lai Zhuotao Tian Li Jiang Shu Liu CVPR2021 pdf

  • Need to read

• Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

  Nikita Araslanov Stefan Roth CVPR 2021 arXiv

  • Need to read

Semi-learning

• Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

  Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, and Dejing Dou CVPR 2021 arXiv code

  • semi-supervised learning and transfer learning jointly
  • adaptive consistency regularization: Adaptive Knowledge Consistency and Adaptive representation Consistency

• AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence

  Chengyue Gong, Dilin Wang, Qiang Liu. CVPR2021 arXiv

  • alpha-divergence
  • EM-like algorithm to enforce the con- sistency

• FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

  Tokyo Institute of Technology. Microsoft. Microsoft Research Asia. NeurIPS 2021 arXiv code 知乎

  • Need to read again

DG

• RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

  Sungha Choi Sanghun Jung Huiwon Yun Joanne T. Kim SeungryongKim JaegulChoo CVPR2021 arXiv code

  • Need to read

• Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections

  Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP. CVPR 2021 pdf code

  • Need to read

• Adaptive Methods for Real-World Domain Generalization

  MIT Facebook CVPR 2021 arXiv

  • Need to read

• Learning Causal Semantic Representation for Out-of-Distribution Prediction （Causal Semantic Generative model）因果推论玄学泛化

  Microsoft Research Asia Tsinghua University. Peking University NeurIPS 2021 arXiv

  • 存着以后看吧

• A Style and Semantic Memory Mechanism for Domain Generalization

  Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, and Tao Mei CVPR 2021 pdf

  • 看看

DG survey

• Domain Generalization in Vision: A Survey

  Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy arXiv

• Generalizing to Unseen Domains: A Survey on Domain Generalization

  Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Wenjun Zeng, Tao Qin. arXiv

DA

• Multi-Anchor Active Domain Adaptation for Semantic Segmentation

  Tencent Jarvis Lab, Shenzhen, China ICCV(oral)2021 arXiv code This SoTA in UDA

  • Need to read

• MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

  Xiaoqing Guo Chen Yang Baopu Li Yixuan Yuan CVPR 2021 arXiv code

  • Need to read again

• Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

  Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen CVPR 2021 arXiv code

  • 不work

• DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

  Standford CVPR2021 pdf

  • Need to read

Others

• Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

  Peking University, Peng Cheng Laborotory, Beihang University, AI Application Research Center Huawei ICCV 2021 arXiv code

  • Need to read(About Fourier Transform)