cmhungsteve / awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

awsome-domain-adaptation

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

Contents

• awsome-domain-adaptation
• Contents
• Papers
  • Survey
  • Theory
  • Unsupervised DA
    • Adversarial Methods
    • Network Methods
    • Optimal Transport
    • Incremental Methods
    • Other Methods
  • Semi-supervised DA
  • Weakly-Supervised DA
  • Zero-shot DA
  • One-shot DA
  • Few-shot DA
  • Image-to-Image Translation
  • Disentangled Representation Learning
  • Open Set DA
  • Partial DA
  • Multi Source DA
  • Multi Target DA
  • Multi Step DA
  • Heterogeneous DA
  • General Transfer Learning
    • Domain Generalization
    • Domain Randomization
    • Meta-Learning
    • Transfer Metric Learning
    • Others
  • Applications
    • Object Detection
    • Semantic Segmentation
    • Person Re-identification
    • Video Domain Adaptation
    • Medical Related
    • Monocular Depth Estimation
    • Others
  • Benchmarks
• Library
• Other Resources

Papers

Survey

• Transfer Adaptation Learning: A Decade Survey [arXiv 12 Mar 2019]
• A review of single-source unsupervised domain adaptation [arXiv 16 Jan 2019]
• An introduction to domain adaptation and transfer learning [arXiv 31 Dec 2018]
• A Survey of Unsupervised Deep Domain Adaptation [arXiv 6 Dec 2018]
• A Survey on Deep Transfer Learning [ICANN2018]
• Deep Visual Domain Adaptation: A Survey [arXiv 2018]
• Transfer Learning for Cross-Dataset Recognition: A Survey [arXiv 2017]
• Domain Adaptation for Visual Applications: A Comprehensive Survey [arXiv 2017]
• Visual domain adaptation: A survey of recent advances [2015]

Theory

• Bridging Theory and Algorithm for Domain Adaptation [ICML2019]
• On Learning Invariant Representation for Domain Adaptation [ICML2019] [code]
• Theoretical Perspective of Deep Domain Adaptation [arXiv 15 Nov 2018]
• A theory of learning from different domains [ML2010]
• Learning Bounds for Domain Adaptation [NIPS2007]
• Analysis of Representations for Domain Adaptation [NIPS2006]

Unsupervised DA

Adversarial Methods

• SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation [arXiv 11 Jun 2019]
• Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation [arXiv 10 Jun 2019]
• Unsupervised Domain Adaptation via Regularized Conditional Alignment [arXiv 26 May 2019]
• Adversarial Domain Adaptation Being Aware of Class Relationships [arXiv 28 May 2019]
• Looking back at Labels: A Class based Domain Adaptation Technique [IJCNN] [Project]
• Domain-Symmetric Networks for Adversarial Domain Adaptation [CVPR2019] [Pytorch]
• TarGAN: Generating target data with class labels for unsupervised domain adaptation [Knowledge-Based Systems]
• DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
• Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [arXiv 24 Mar 2019]
• Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption [arXiv 30 Nov 2018]
• Consensus Adversarial Domain Adaptation [AAAI2019]
• Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks [arXiv 17 Feb 2019]
• DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification [arXiv 30 Dec 2018]
• Progressive Feature Alignment for Unsupervised Domain Adaptation [CVPR2019]
• Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation [ICLR2019]
• Transferable Attention for Domain Adaptation [AAAI2019]
• Conditional Adversarial Domain Adaptation [NIPS2018] [Pytorch(official)] [Pytorch(third party)]
• Unsupervised Domain Adaptation using Generative Models and Self-ensembling [arXiv 2 Dec 2018]
• Exploiting Local Feature Patterns for Unsupervised Domain Adaptation [AAAI2019]
• Domain Confusion with Self Ensembling for Unsupervised Adaptation [arXiv 10 Oct 2018]
• Improving Adversarial Discriminative Domain Adaptation [arXiv 10 Sep 2018]
• M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning [arXiv 6 Jul 2018] [Pytorch(official)]
• 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]
• Causal Generative Domain Adaptation Networks [arXiv 28 Jun 2018]
• Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model [ECCV2018]
• 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] [Tensorflow]
• Maximum Classifier Discrepancy for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
• 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)] [Pytorch]
• Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
• Adversarial Dropout Regularization [ICLR2018]
• 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]
• Domain-Adversarial Training of Neural Networks [JMLR2016]
• Unsupervised Domain Adaptation by Backpropagation [ICML2015] [Caffe(Official)] [Tensorflow] [Pytorch]

Network Methods

• Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation [AAAI2019]
• 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] [Keras]
• 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

• Virtual Mixup Training for Unsupervised Domain Adaptation [arXiv on 24 May 2019] [Tensorflow]
• Bayesian Uncertainty Matching for Unsupervised Domain Adaptation [IJCAI2019]
• Discriminative Clustering for Robust Unsupervised Domain Adaptation [arXiv 30 May 2019]
• Learning Smooth Representation for Unsupervised Domain Adaptation [arXiv 26 May 2019]
• Domain Specific Batch Normalization for Unsupervised Domain Adaptation [CVPR2019]
• AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs [CVPR2019]
• Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach [CVPR2019]
• Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation [CVPR2019]
• Switchable Whitening for Deep Representation Learning [arXiv 22 Apr 2019]
• Adaptive Batch Normalization for practical domain adaptation [Pattern Recognition(2018)]
• MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation [arXiv 21 Apr 2019]
• Transferrable Prototypical Networks for Unsupervised Domain Adaptation [CVPR2019(Oral)]
• Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation [arXiv 13 Apr 2019]
• Easy Transfer Learning By Exploiting Intra-domain Structures [arXiv 2 Apr 2019]
• Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation [CVPR2019]
• Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss [arXiv 7 Mar 2019]
• Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation [arXiv 30 Jan 2019]
• Domain Alignment with Triplets [arXiv 22 Jan 2019]
• Contrastive Adaptation Network for Unsupervised Domain Adaptation [CVPR2019]
• Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach [arXiv 19 Nov 2018] [Pytorch(official)]
• Deep Discriminative Learning for Unsupervised Domain Adaptation [arXiv 17 Nov 2018]
• Unsupervised Domain Adaptation for Distance Metric Learning [ICLR2019]
• Co-regularized Alignment for Unsupervised Domain Adaptation [NIPS2018]
• Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation [TIP 2018]
• Unsupervised Domain Adaptation by Mapped Correlation Alignment [IEEE ACCESS]
• Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation [ECCV2018]
• Unsupervised Domain Adaptation with Distribution Matching Machines [AAAI2018]
• Learning to cluster in order to transfer across domains and tasks [ICLR2018] [Bolg] [Pytorch]
• Self-Ensembling for Visual Domain Adaptation [ICLR2018 Poster]
• Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation [ICLR2018 Poster] [TensorFlow]
• Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018]
• Associative Domain Adaptation [ICCV2017] [TensorFlow] [Pytorch]
• Asymmetric Tri-training for Unsupervised Domain Adaptation [ICML2017] [TensorFlow]
• AutoDIAL: Automatic DomaIn Alignment Layers [ICCV2017]
• Learning Transferrable Representations for Unsupervised Domain Adaptation [NIPS2016]

Semi-supervised DA

• Semi-supervised Domain Adaptation via Minimax Entropy [arXiv 16 Apr 2019]

Weakly-Supervised DA

• Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation [arXiv on 19 May 2019]
• Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
• Transferable Curriculum for Weakly-Supervised Domain Adaptation [AAAI2019]

Zero-shot DA

• Zero-shot Domain Adaptation Based on Attribute Information [arXiv 13 Mar 2019]
• Generalized Zero-Shot Learning with Deep Calibration Network NIPS2018
• Zero-Shot Deep Domain Adaptation [ECCV2018]

One-shot DA

• One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning [arxiv]
• One-Shot Adaptation of Supervised Deep Convolutional Models [ICLR Workshop 2014]

Few-shot DA

• d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding [CVPR2019 Oral]
• Few-Shot Adversarial Domain Adaptation [NIPS2017]

Image-to-Image Translation

• Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer [ICLR2019] [Pytorch]
• MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation [arXiv 11 Feb 2019]
• TraVeLGAN: Image-to-image Translation by Transformation Vector Learning [arXiv 25 Feb 2019]
• Unsupervised Attention-guided Image-to-Image Translation [NIPS2018]
• Image-to-image translation for cross-domain disentanglement [NIPS2018]
• One-Shot Unsupervised Cross Domain Translation [NIPS2018]
• A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation [NIPS2018]
• Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound [NIPS2018]
• Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching [KDD2018]
• Unpaired Multi-Domain Image Generation via Regularized Conditional GANs [IJCAI2018] [TensorFlow]
• Improving Shape Deformation in Unsupervised Image-to-Image Translation [ECCV2018]
• NAM: Non-Adversarial Unsupervised Domain Mapping [ECCV2018]
• AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation [ECCV2018]
• Recycle-GAN: Unsupervised Video Retargeting [ECCV2018] [Project]
• Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks [ECCV2018]
• Diverse Image-to-Image Translation via Disentangled Representations [ECCV2018] [Pytorch(Official)] [Tensorflow]
• Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation [ECCV2018]
• Multimodal Unsupervised Image-to-Image Translation [ECCV2018] [Pytorch(Official)]
• JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets [ICML2018] [TensorFlow(Official)]
• DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks [CVPR2018]
• 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] [Pytorch(Official)]

Disentangled Representation Learning

• Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer [ICLR2019] [Pytorch]
• Towards a Definition of Disentangled Representations [arXiv 5 Dec 2018]
• Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies [NIPS2018]
• Image-to-image translation for cross-domain disentanglement [NIPS2018]

Open Set DA

• Separate to Adapt: Open Set Domain Adaptation via Progressive Separation [CVPR2019]
• Known-class Aware Self-ensemble for Open Set Domain Adaptation [arXiv 3 May 2019]
• Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
• Learning Factorized Representations for Open-set Domain Adaptation [ICLR2019]
• Open Set Domain Adaptation by Backpropagation [ECCV2018] [Pytorch(Official)] [Tensorflow] [Pytorch]
• Open Set Domain Adaptation [ICCV2017]

Partial DA

• Tackling Partial Domain Adaptation with Self-Supervision [arXiv 12 Jun 2019]
• Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation [arXiv 26 May 2019]
• Domain Adversarial Reinforcement Learning for Partial Domain Adaptation [arXiv 10 May 2019]
• Learning to Transfer Examples for Partial Domain Adaptation [CVPR2019]
• TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation [arXiv 18 Dec 2018]
• Partial Adversarial Domain Adaptation [ECCV2018] [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

• Multi-Source Domain Adaptation with Mixture of Experts [EMNLP2018] [Tensorflow]
• Multi-Domain Adversarial Learning [ICLR2019]
• Moment Matching for Multi-Source Domain Adaptation [arXiv 4 Dec 2018]
• Algorithms and Theory for Multiple-Source Adaptation [NIPS2018]
• Adversarial Multiple Source Domain Adaptation [NIPS2018] [Pytorch]
• Boosting Domain Adaptation by Discovering Latent Domains [CVPR2018]
• Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [CVPR2018] [Pytorch]
• A survey of multi-source domain adaptation [Information Fusion]

Multi Target DA

• Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach [arXiv]

Multi Step DA

• Adversarial Domain Adaptation for Stance Detection [arXiv]
• Ensemble Adversarial Training: Attacks and Defenses [arXiv]
• Distant domain transfer learning [AAAI2017]

Heterogeneous DA

• Heterogeneous Domain Adaptation via Soft Transfer Network [ACM MM2019]

General Transfer Learning

Domain Generalization

• A Generalization Error Bound for Multi-class Domain Generalization [arXiv 24 May 2019]
• Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization [arXiv 29 Apr 2019]
• Domain Generalization by Solving Jigsaw Puzzles [CVPR2019]
• Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models [arXiv 9 Dec 2018]
• Domain Generalization with Adversarial Feature Learning [CVPR2018]
• Deep Domain Generalization via Conditional Invariant Adversarial Networks [ECCV2018]
• MetaReg: Towards Domain Generalization using Meta-Regularization [NIPS2018]

Domain Randomization

• DeceptionNet: Network-Driven Domain Randomization [arXiv 4 Apr 2019]

Meta-Learning

Unsupervised Learning via Meta-Learning [arXiv]

Transfer Metric Learning

• Transfer Metric Learning: Algorithms, Applications and Outlooks [arXiv]

Others

• Domain Agnostic Learning with Disentangled Representations [ICML2019]
• Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization [CVPR2019] [Pytorch]
• When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets [arXiv 13 Dec 2018]

Applications

Object Detection

Arxiv

• A Robust Learning Approach to Domain Adaptive Object Detection [arXiv 4 Apr 2019] [code]

Conference

• Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection [ICCV2019 Oral]
• Exploring Object Relation in Mean Teacher for Cross-Domain Detection [CVPR2019]
• Adapting Object Detectors via Selective Cross-Domain Alignment [CVPR2019]
• Automatic adaptation of object detectors to new domains using self-training [CVPR2019] [Project]
• Towards Universal Object Detection by Domain Attention [CVPR2019]
• Strong-Weak Distribution Alignment for Adaptive Object Detection [CVPR2019] [Pytorch]
• Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection [Poster]
• Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation [CVPR2018]
• Domain Adaptive Faster R-CNN for Object Detection in the Wild [CVPR2018] [Caffe2] [Caffe] [Pytorch(under developing)]

Semantic Segmentation

Arxiv

• Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation [arXiv 2 Sep 2019]
• Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation [arXiv 1 Apr 2019]

Conference

• Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation [ICCV2019]
• DADA: Depth-aware Domain Adaptation in Semantic Segmentation [ICCV2019] [code]
• Domain Adaptation for Structured Output via Discriminative Patch Representations [ICCV2019 Oral] [Project]
• Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection [CVPR2019(Oral)(PDF Coming Soon)]
• CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency [CVPR2019] [Project]
• Bidirectional Learning for Domain Adaptation of Semantic Segmentation [CVPR2019] [Pytorch]
• Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach [CVPR2019]
• All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation [CVPR2019] [Pytorch]
• DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
• Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation [CVPR2019 Oral] [Pytorch]
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [CVPR2019 Oral] [Pytorch]
• SPIGAN: Privileged Adversarial Learning from Simulation [ICLR2019]
• Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation [ECCV2018]
• Domain transfer through deep activation matching [ECCV2018]
• Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [ECCV2018]
• DCAN: Dual channel-wise alignment networks for unsupervised scene adaptation [ECCV2018]
• Fully convolutional adaptation networks for semantic segmentation [CVPR2018]
• Learning to Adapt Structured Output Space for Semantic Segmentation [CVPR2018] [Pytorch]
• Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018]
• Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation [CVPR2018]
• Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes [ICCV2017] [Journal Version]

Journal

• Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes [TIP]

Person Re-identification

• Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification [[arXiv 25 May 2019]](Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification)
• Camera Adversarial Transfer for Unsupervised Person Re-Identification [arXiv 2 Apr 2019]
• Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification [CVPR2019] [Pytorch]
• EANet: Enhancing Alignment for Cross-Domain Person Re-identification [arXiv 29 Dec 2018] [Pytorch]
• One Shot Domain Adaptation for Person Re-Identification [arXiv 26 Nov 2018]
• Similarity-preserving Image-image Domain Adaptation for Person Re-identification [arXiv 26 Nov 2018]
• Domain Adaptation through Synthesis for Unsupervised Person Re-identification [ECCV2018]
• 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]

Video Domain Adaptation

• Temporal Attentive Alignment for Video Domain Adaptation [CVPRW 2019] [Pytorch]

Medical Related

• Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation [arXiv 29 Aug 2019]
• Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation [arXiv on 24 Jan 2019]
• Unsupervised domain adaptation for medical imaging segmentation with self-ensembling [arXiv 14 Nov 2018]

Monocular Depth Estimation

• Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation [CVPR2019]
• Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer [CVPR2018]

Others

• DANE: Domain Adaptive Network Embedding [arXiv 3 Jun 2019]
• Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning [IJCNN]
• Active Adversarial Domain Adaptation [arXiv 16 Apr 2019]

Benchmarks

• Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation [arXiv 26 Jun] [Project]

Library

• Xlearn:Transfer Learning Library
• deep-transfer-learning:a PyTorch library for deep transfer learning
• salad:a Semi-supervised Adaptive Learning Across Domains

Other Resources

• transferlearning