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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/TingHLiao/ELDA

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ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA

https://github.com/Trustworthy-Engineered-Autonomy-Lab/generalizable-image-repair

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Generalizable Image Repair for Robust Visual Autonomous Racing

https://github.com/TysonYu/AdaptSum

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AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization

https://github.com/UBC-CIC/COVID19-L3-Net

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Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients

https://github.com/UKPLab/emnlp2019-duplicate_question_detection

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Neural Duplicate Question Detection without Labeled Training Data

https://github.com/UKPLab/sentence-transformers

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Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

https://github.com/VDIGPKU/OpenAD

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OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

https://github.com/VICO-UoE/DatasetCondensation

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Dataset Condensation with Gradient Matching

https://github.com/VMarsocci/geomultitasknet

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GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates

https://github.com/Vanint/CoUDA

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Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

https://github.com/VersElectronics/FOT

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Functional optimal transport: map estimation and domain adaptation for functional data

https://github.com/ViLab-UCSD/MemSAC_ECCV2022

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MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation

https://github.com/VideoObjectSearch/RandPerson

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Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

https://github.com/Vishal-V/FSDA-LowLight

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Few-Shot Domain Adaptation for Low Light RAW Image Enhancement

https://github.com/VisionLearningGroup/CORAL

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Correlation Alignment for Unsupervised Domain Adaptation

https://github.com/VisionLearningGroup/DANCE

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Universal Domain Adaptation through Self Supervision

https://github.com/VisionLearningGroup/OVANet

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OVANet: One-vs-All Network for Universal Domain Adaptation

https://github.com/VisionLearningGroup/taskcv-2017-public

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VisDA: The Visual Domain Adaptation Challenge

https://github.com/VoiceBeer/MS-MDA

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MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

https://github.com/W-zx-Y/DANNet

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DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

https://github.com/WANGXinyiLinda/CMLE

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Counterfactual Maximum Likelihood Estimation for Training Deep Networks

https://github.com/WArushrush/Curriculum-CycleGAN

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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources

https://github.com/WZq975/DA-TTA

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Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams

https://github.com/Waffle-Liu/CEA

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Advancing Test-Time Adaptation in Wild Acoustic Test Settings

https://github.com/Wang-xd1899/SSHT

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Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer

https://github.com/WangWenhao0716/Attentive-WaveBlock

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Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond

https://github.com/WangWenhao0716/DomainMix

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DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations

https://github.com/WassimJabz/RecogniChess

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Unsupervised Domain Adaptation Approaches for Chessboard Recognition

https://github.com/Wenchao-Du/LIR-for-Unsupervised-IR

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Learning Invariant Representation for Unsupervised Image Restoration

https://github.com/Wenhui-Yu/TDAR

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Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation

https://github.com/Wenlve-Zhou/VLP-UDA

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Unsupervised Domain Adaption Harnessing Vision-Language Pre-training

https://github.com/WoojuLee24/OA-DG

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Object-Aware Domain Generalization for Object Detection

https://github.com/XHomL/COCA

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COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

https://github.com/XThomasBU/GUIDE

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What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization

https://github.com/XingangPan/IBN-Net

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/XingangPan/Switchable-Whitening

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Switchable Whitening for Deep Representation Learning

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