awsome-domain-adaptation

This repo is a collection of AWESOME things about domian adaptation,including papers,code etc.Feel free to star and fork.

Contents

• Overview
• Adversarial DA
• Network DA
• Image-to-Image Translation
• Other Methods
• Open Set DA
• Multi-source DA
• Applications

Overview

• Deep Visual Domain Adaptation: A Survey [arXiv 2018]
• Domain Adaptation for Visual Applications: A Comprehensive Survey [arXiv 2017]

Adversarial DA

• Unsupervised Domain Adaptation with Adversarial Residual Transform Networks [arXiv 25 Apr 2018]
• Simple Domain Adaptation with Class Prediction Uncertainty Alignment [arXiv 12 Apr 2018]
• Causal Generative Domain Adaptation Networks [Arxiv 12 Apr 2018]
• Importance Weighted Adversarial Nets for Partial Domain Adaptation [CVPR2018]
• Maximum Classifier Discrepancy for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
• Domain Generalization with Adversarial Feature Learning [CVPR2018]
• Adversarial Feature Augmentation for Unsupervised Domain Adaptation [CVPR2018] [TensorFlow(Official)]
• Partial Transfer Learning with Selective Adversarial Networks [CVPR2018][paper weekly]
• Duplex Generative Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
• Generate To Adapt: Aligning Domains using Generative Adversarial Networks [CVPR2018] [Pytorch(Official)]
• Image to Image Translation for Domain Adaptation [CVPR2018]
• Unsupervised Domain Adaptation with Similarity Learning [CVPR2018]
• Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018 Not released]
• Collaborative and Adversarial Network for Unsupervised Domain Adaptation [CVPR2018 Not released]
• Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation [CVPR2018 Not released]
• Multi-Adversarial Domain Adaptation [AAAI2018] [Caffe(Official)]
• Wasserstein Distance Guided Representation Learning for Domain Adaptation [AAAI2018]
• A DIRT-T Approach to Unsupervised Domain Adaptation [ICLR2018 Poster] [Tensorflow(Official)]
• Label Efficient Learning of Transferable Representations acrosss Domains and Tasks [NIPS2017] [Project]
• Adversarial Discriminative Domain Adaptation [CVPR2017] [Tensorflow(Official)] [Pytorch]
• Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [CVPR2017] [Tensorflow(Official)] [Pytorch]
• Domain Separation Networks [NIPS2016]
• Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation [ECCV2016]
• Unsupervised Domain Adaptation by Backpropagation [ICML2015] [Caffe(Official)] [Tensorflow] [Pytorch]

Network DA

• Boosting Domain Adaptation by Discovering Latent Domains [CVPR2018]
• Residual Parameter Transfer for Deep Domain Adaptation [CVPR2018]
• Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation [AAAI2018]

Image-to-Image Translation

• Multimodal Unsupervised Image-to-Image Translation [arXiv] [Pytorch(Official)]
• StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [CVPR2018] [Pytorch(Official)]
• Unsupervised Image-to-Image Translation Networks [NIPS2017] [Pytorch(Official)]
• Unsupervised Cross-Domain Image Generation [ICLR2017 Poster] [TensorFlow]
• Coupled Generative Adversarial Networks [NIPS2016] [Poytorch(Official)]
• Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [ICML2017] [Pytorch(Official)]

Other Methods

• Unsupervised Domain Adaptation with Distribution Matching Machines [AAAI2018]
• Self-Ensembling for Visual Domain Adaptation [ICLR2018 Poster]
• Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018 Not released]

Open Set DA

• Open Set Domain Adaptation by Backpropagation [arXiv 27 Apr 2018]
• Open Set Domain Adaptation [ICCV2017]

Multi source DA

• Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [CVPR2018]

Applications

• Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation [CVPR2018]
• Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer [CVPR2018]
• Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification [CVPR2018]