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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ywher/ss-ada

공식 코드

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation

https://github.com/ywzcode/CS-adv

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Domain Adaptation with Cauchy-Schwarz Divergence

https://github.com/yxgeee/MMT

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Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

https://github.com/yxgeee/SDA

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Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

https://github.com/yxgeee/SpCL

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Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

https://github.com/yxgeee/VisDA-ECCV20

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Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

https://github.com/yxiwang/atp

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A Curriculum-style Self-training Approach for Source-Free Semantic Segmentation

https://github.com/yxltya/pointdgmamba

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PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model

https://github.com/yyNoBug/VAE_segmentation

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Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

https://github.com/yyyaoyuan/CWAN

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Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network

https://github.com/yyyaoyuan/shda

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Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective

https://github.com/yyzharry/multi-domain-imbalance

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On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond

https://github.com/yzou2/CBST

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Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

https://github.com/yzou2/CRST

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Confidence Regularized Self-Training

https://github.com/yzr1991/deep_into_the_domain_shift

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Deep into The Domain Shift: Transfer Learning through Dependence Regularization

https://github.com/z-z188/umdatrack

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UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions

https://github.com/z1358/obao

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Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

https://github.com/zamanzadeh/DACAD

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DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

https://github.com/zdou0830/DAFE

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Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings

https://github.com/zdou0830/DDA

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Domain Differential Adaptation for Neural Machine Translation

https://github.com/zdou0830/dynamic_select_weight

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Dynamic Data Selection and Weighting for Iterative Back-Translation

https://github.com/zekun-cai/koodos

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Continuous Temporal Domain Generalization

https://github.com/zenghy96/reliable-source-approximation

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Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

https://github.com/zh460045050/da-wsol_cvpr2022

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Weakly Supervised Object Localization as Domain Adaption

https://github.com/zhang-haojie/wesam

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Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation

https://github.com/zhangce01/DPE-CLIP

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Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

https://github.com/zhangce01/dualadapter

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Enhancing Vision-Language Few-Shot Adaptation with Negative Learning

https://github.com/zhangce01/simnl

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Enhancing Vision-Language Few-Shot Adaptation with Negative Learning

https://github.com/zhangda1018/dpd

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Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation

https://github.com/zhanghr2001/promptta

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PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization

https://github.com/zhangmarvin/memo

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MEMO: Test Time Robustness via Adaptation and Augmentation

https://github.com/zhangtravis/hist-da

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Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features

https://github.com/zhangye-zoe/dawn

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DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions

https://github.com/zhangzc21/generalized-one-shot-gan-adaptation

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Generalized One-shot Domain Adaptation of Generative Adversarial Networks

https://github.com/zhao-ht/sida

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Domain Adaptation via Maximizing Surrogate Mutual Information

https://github.com/zhaohaoyu376/morestyle

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MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

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