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
- 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
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
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
Few-shot DA
Image-to-Image Translation
Open Set DA
Partial DA
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
(转)Awsome Domain-Adaptation
原文:https://www.cnblogs.com/wangxiaocvpr/p/9432120.html