【资源】领域自适应相关 paper 及 code 资源汇总

写在前面:一直以来,极市得到了许许多多开发者的关注和支持,极市的成长离不开各位开发者的见证,为此我们特开设极市开发者祝愿帖,期待听到您真实的心声和建议~φ (> ω<*) :

极市开发者祝愿活动 (有奖回馈)

前言

之前极市曾分享了几个GitHub上的awesome系列项目,反响都很好。



今天分享一个领域自适应相关领域的相关paper及code资源汇总列表,领域自适应(Domain Adaptation)是迁移学习中的一种代表性方法,指的是利用信息丰富的源域样本来提升目标域模型的性能。

极市曾邀请了中科院王晋东博士进行了迁移学习中的领域自适应方法的线上分享,可以结合视频阅读以下资源~

作者:zhaoxin94
来源:zhaoxin94/awsome-domain-adaptation


Papers

Overview

Theory

Unsupervised DA

Adversarial Methods

Network Methods

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

Incremental Methods

  • Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
  • Continuous Manifold based Adaptation for Evolving Visual Domains [CVPR2014]

Other Methods

  • 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 [arXiv 4 Jan 2019]
  • 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]
  • Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018]
  • Associative Domain Adaptation [ICCV2017] [TensorFlow]
  • Asymmetric Tri-training for Unsupervised Domain Adaptation [ICML2017]
  • Learning Transferrable Representations for Unsupervised Domain Adaptation [NIPS2016]

Weakly-Supervised DA

  • 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

Few-shot DA

  • Few-Shot Adversarial Domain Adaptation [NIPS2017]

Image-to-Image Translation

Disentangled Representation Learning

  • 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

Partial DA

Multi Source DA

Multi Target DA

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

Multi Step DA

General Transfer Learning

Domain Generalization

  • 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]

Meta-Learning

Unsupervised Learning via Meta-Learning [arXiv]

Transfer Metric Learning

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

Others

  • When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets [arXiv 13 Dec 2018]

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

  • Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation [CVPR2019]
  • SPIGAN: Privileged Adversarial Learning from Simulation [ICLR2019]
  • ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [arXiv 30 Nov 2018]
  • Unsupervised domain adaptation for medical imaging segmentation with self-ensembling [NIPS2018]
  • Domain transfer through deep activation matching [ECCV2018]
  • Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [ECCV2018]
  • 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]

Person Re-identification

  • 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]

Medical Related

  • 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]

Others

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

Benchmarks

Library

Other Resources





推荐阅读
预训练模型迁移学习
VGG16 迁移学习,实现医学图像识别分类工程项目