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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/maytusp/tta-nav

공식 코드

TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions

https://github.com/mazurowski-lab/mri-iap-prediction

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Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images

https://github.com/mazurowski-lab/single-image-test-time-adaptation

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Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation

https://github.com/mc-lan/sp-tcl

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Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach

https://github.com/mckysse/msd

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WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition

https://github.com/mdppml/FREDA

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Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data

https://github.com/mecarill/2pcnet

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2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection

https://github.com/mechrev0/mudpt

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MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models

https://github.com/med-air/dltta

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DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images

https://github.com/med-air/ttadc

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Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

https://github.com/mediabrain-sjtu/disam

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Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

https://github.com/medical-image-analysis-laboratory/dl_fiber_domain_shift

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Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

https://github.com/medicl-vu/cats

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CATS v2: Hybrid encoders for robust medical segmentation

https://github.com/medicl-vu/crossmoda2023

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Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation

https://github.com/medtray/dame

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DAME: Domain Adaptation for Matching Entities

https://github.com/meghbhalerao/pred-guide

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Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation

https://github.com/megvii-research/simpledg

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SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles

https://github.com/mehrdad-noori/fds

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FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization

https://github.com/mehrdad-noori/tfs-vit_token-level_feature_stylization

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TFS-ViT: Token-Level Feature Stylization for Domain Generalization

https://github.com/mehrdad-noori/watt

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WATT: Weight Average Test-Time Adaptation of CLIP

https://github.com/mehrzadshm/built-bench-paper

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Benchmarking pre-trained text embedding models in aligning built asset information

https://github.com/meihan-liu/24aaai-a2gnn

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Rethinking Propagation for Unsupervised Graph Domain Adaptation

https://github.com/meilfang/cf-pad

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Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics

https://github.com/meilfang/lmfd-pad

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Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

https://github.com/meilfang/synthaspoof

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SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

https://github.com/mendicant04/omega

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Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment

https://github.com/mengfeid/panoos

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Panoramic Out-of-Distribution Segmentation

https://github.com/mertduman/zero-shot-ecg

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A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance

https://github.com/meshidenn/cai

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Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps

https://github.com/metavisionlab/ddg

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Dynamic Domain Generalization

https://github.com/metavisionlab/pe

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Parameter Exchange for Robust Dynamic Domain Generalization

https://github.com/metavisionlab/ssdg

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Semi-Supervised Domain Generalization with Evolving Intermediate Domain

https://github.com/meteahishali/ada-net

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ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery

https://github.com/mfederici/dsit

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An Information-theoretic Approach to Distribution Shifts

https://github.com/mgong2/DA_Infer

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Domain Adaptation as a Problem of Inference on Graphical Models

https://github.com/mhealthbuet/domainagnosticcxr

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Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.