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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/junkunyuan/csac

공식 코드

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization

https://github.com/junkunyuan/dsbf

공식 코드

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

https://github.com/junshern/few-shot-adaptation

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Few-shot Adaptation Works with UnpredicTable Data

https://github.com/justinkay/aldi

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Align and Distill: Unifying and Improving Domain Adaptive Object Detection

https://github.com/jxhe/efficient-knnlm

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Efficient Nearest Neighbor Language Models

https://github.com/jxhuang0508/CaCo

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Category Contrast for Unsupervised Domain Adaptation in Visual Tasks

https://github.com/jxhuang0508/CrCDA

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Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation

https://github.com/jxhuang0508/FSDR

공식 코드

FSDR: Frequency Space Domain Randomization for Domain Generalization

https://github.com/jyLin8100/GenSAM

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Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

https://github.com/k2-fsa/icefall/tree/master/egs/libricss/SURT

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SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition

https://github.com/k2okoh/mad

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Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains

https://github.com/kaen2891/stethoscope-guided_supervised_contrastive_learning

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Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification

https://github.com/kahnchana/opl

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Orthogonal Projection Loss

https://github.com/kaiizhang/mfa

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Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation

https://github.com/kailigo/pacl

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ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation

https://github.com/kaiseem/dar-unet

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CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

https://github.com/kaiseem/slaug

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Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

https://github.com/kaiyangzhou/coop

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Learning to Prompt for Vision-Language Models

https://github.com/kaiyangzhou/on-device-dg

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On-Device Domain Generalization

https://github.com/kakaobrain/miro

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Domain Generalization by Mutual-Information Regularization with Pre-trained Models

https://github.com/kamildeja/joint_diffusion

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Learning Data Representations with Joint Diffusion Models

https://github.com/kangliao929/noise-da

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Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

https://github.com/kasnerz/d2t_iterative_editing

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Data-to-Text Generation with Iterative Text Editing

https://github.com/kathyliu579/cs-unet

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Optimizing Vision Transformers for Medical Image Segmentation

https://github.com/katiana22/tl-deeponet

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Deep transfer operator learning for partial differential equations under conditional shift

https://github.com/kazabana/eegmatch

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EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition

https://github.com/kazizzad/LabelShiftEstimator

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Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

https://github.com/kechua/DART20

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First U-Net Layers Contain More Domain Specific Information Than The Last Ones

https://github.com/kechua/feather-light-fourier-domain-adaptation

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Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging

https://github.com/keeplearning-again/matchseg

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MatchSeg: Towards Better Segmentation via Reference Image Matching

https://github.com/keikeiqi/mgtta

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Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

https://github.com/keke-nice/greip

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Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge

https://github.com/kerem-cekmeceli/foundation-models-for-medical-imagery

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Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?

https://github.com/kerrydrx/evidentialada

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Evidential Uncertainty Quantification: A Variance-Based Perspective

https://github.com/ketyi/2SRNN

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Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks

https://github.com/ketyi/Deep-2SRNN

공식 코드

On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition

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