Awsome Domain-Adaptation
2018-08-06 19:27:54
This blog is copied from: https://github.com/zhaoxin94/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
Papers
Overview
Theory
Unsupervised DA
Adversarial Methods
Network Methods
Optimal Transport
Incremental Methods
Other Methods
Zero-shot DA
Few-shot DA
Image-to-Image Translation
Open Set DA
Partial DA
Multi-source DA
General Transfer Learning
Applications
Object Detection
Semantic Segmentation
Person Re-Identification
Others
Benchmarks
Papers
Overview
Deep Visual Domain Adaptation: A Survey [arXiv 2018]
Domain Adaptation for Visual Applications: A Comprehensive Survey [arXiv 2017]
Theory
Analysis of Representations for Domain Adaptation [NIPS2006]
A theory of learning from different domains [ML2010]
Learning Bounds for Domain Adaptation [NIPS2007]
Unsupervised DA
Adversarial Methods
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning [arXiv 6 Jul 2018] [Pytorch(official)]
Augmented Cyclic Adversarial Learning for Domain Adaptation [arXiv 1 Jul 2018]
Factorized Adversarial Networks for Unsupervised Domain Adaptation [arXiv 4 Jun 2018]
DiDA: Disentangled Synthesis for Domain Adaptation [arXiv 21 May 2018]
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 28 Jun 2018]
Conditional Adversarial Domain Adaptation [arXiv 10 Feb 2018 ]
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization [ECCV2018]
Learning Semantic Representations for Unsupervised Domain Adaptation [ICML2018] [TensorFlow(Official)]
CyCADA: Cycle-Consistent Adversarial Domain Adaptation [ICML2018] [Pytorch(official)]
From source to target and back: Symmetric Bi-Directional Adaptive GAN [CVPR2018] [Keras(Official)] [Pytorch]
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation [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)]
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]
Collaborative and Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch]
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation [CVPR2018]
Multi-Adversarial Domain Adaptation [AAAI2018] [Caffe(Official)]
Wasserstein Distance Guided Representation Learning for Domain Adaptation [AAAI2018] [TensorFlow(official)]
Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
A DIRT-T Approach to Unsupervised Domain Adaptation [ICLR2018 Poster] [Tensorflow(Official)]
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks [NIPS2017] [Project]
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation [IROS2017]
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]
Domain-Adversarial Training of Neural Networks [JMLR2016]
Unsupervised Domain Adaptation by Backpropagation [ICML2015] [Caffe(Official)] [Tensorflow] [Pytorch]
Network Methods
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]
Deep CORAL: Correlation Alignment for Deep Domain Adaptation [ECCV2016]
Deep Domain Confusion: Maximizing for Domain Invariance [Arxiv 2014]
Optimal Transport
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation [ECCV2018]
Joint Distribution Optimal Transportation for Domain Adaptation [NIPS2017] [python] [Python Optimal Transport Library]
Incremental Methods
Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
Continuous Manifold based Adaptation for Evolving Visual Domains [CVPR2014]
Other Methods
Unsupervised Domain Adaptation with Distribution Matching Machines [AAAI2018]
Self-Ensembling for Visual Domain Adaptation [ICLR2018 Poster]
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation [ICLR2018 Poster]
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018]
Associative Domain Adaptation [ICCV2017] [TensorFlow]
Learning Transferrable Representations for Unsupervised Domain Adaptation [NIPS2016]
Zero-shot DA
Zero-Shot Deep Domain Adaptation [ECCV2018]
Few-shot DA
Image-to-Image Translation
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets [ICML2018] [TensorFlow(Official)]
Multimodal Unsupervised Image-to-Image Translation [arXiv] [Pytorch(Official)]
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [CVPR2018][Pytorch(Official)]
Conditional Image-to-Image Translation [CVPR2018]
Toward Multimodal Image-to-Image Translation [NIPS2017] [Project] [Pyotorch(Official)]
Unsupervised Image-to-Image Translation Networks [NIPS2017] [Pytorch(Official)]
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [ICCV2017(extended version)][Pytorch(Official)]
Image-to-Image Translation with Conditional Adversarial Nets [CVPR2017] [Project] [Pytorch(Official)]
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [ICML2017] [Pytorch(Official)]
Unsupervised Cross-Domain Image Generation [ICLR2017 Poster] [TensorFlow]
Coupled Generative Adversarial Networks [NIPS2016] [Poytorch(Official)]
Open Set DA
Learning Factorized Representations for Open-set Domain Adaptation [arXiv 31 May 2018]
Open Set Domain Adaptation by Backpropagation [ECCV2018]
Open Set Domain Adaptation [ICCV2017]
Partial DA
Partial Adversarial Domain Adaptation [ECCV2018(not released)] [Pytorch(Official)]
Importance Weighted Adversarial Nets for Partial Domain Adaptation [CVPR2018]
Partial Transfer Learning with Selective Adversarial Networks [CVPR2018][paper weekly] [Pytorch(Official) & Caffe(official)]
Multi source DA
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [CVPR2018]
Applications
Object Detection
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation [CVPR2018]
Domain Adaptive Faster R-CNN for Object Detection in the Wild [CVPR2018]
Semantic Segmentation
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation [CVPR2018]
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes [ICCV2017]
Person Re-identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification [CVPR2018]
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification [CVPR2018]
Others
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer [CVPR2018]
Benchmarks
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation [arXiv 26 Jun] [Project]
