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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/h-yu16/domainbed-v2

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Rethinking the Evaluation Protocol of Domain Generalization

https://github.com/h751410234/datr

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DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment

https://github.com/hackmebroo/ccfp

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Cross Contrasting Feature Perturbation for Domain Generalization

https://github.com/hackmebroo/cross-contrasting-feature-perturbation-for-domain-generalization

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Cross Contrasting Feature Perturbation for Domain Generalization

https://github.com/haitaomao/soga

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Source Free Unsupervised Graph Domain Adaptation

https://github.com/hamidbostani2021/robust-feature-space

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Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations

https://github.com/hamidreza-dastmalchi/3dd-tta

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Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models

https://github.com/hamrel-cxu/flowot

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Computing high-dimensional optimal transport by flow neural networks

https://github.com/hanbyel0105/CamDistHumanPose3D

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Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

https://github.com/hannibal046/pluglm

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Decouple knowledge from parameters for plug-and-play language modeling

https://github.com/hanniewhu/promptmid

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PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching

https://github.com/hanzhaoml/mdan

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Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

https://github.com/hanzhou032/xqa-dst

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XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking

https://github.com/haoang97/tohan

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TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

https://github.com/haochen-wang409/styletransfer

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Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation

https://github.com/haoli12345/cats

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CATS v2: Hybrid encoders for robust medical segmentation

https://github.com/haoranchen/multi-prompt-alignment-for-msuda

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Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation

https://github.com/haoxiang-wang/isr

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Provable Domain Generalization via Invariant-Feature Subspace Recovery

https://github.com/harvard-ophthalmology-ai-lab/fairdomain

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FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

https://github.com/harveerar/PSIGAN

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PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation

https://github.com/has97/osloprompt

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OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP

https://github.com/hasanirtiza/Pedestron

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Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

https://github.com/hasibzunair/synthetic-covid-cxr-dataset

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Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation

https://github.com/hbchen121/dgreid

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Style Variable and Irrelevant Learning for Generalizable Person Re-identification

https://github.com/hbing-l/posynda

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PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation

https://github.com/hccngu/MLADA

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Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

https://github.com/hdoi5324/benthic-uda

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Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain Adaptation

https://github.com/hduanac/gradframe

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Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments

https://github.com/hdvos/euparliamentasrdataandcode

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Political corpus creation through automatic speech recognition on EU debates

https://github.com/heaventian93/ImageNet-Models-on-Domain-Adaptation

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Impact of ImageNet Model Selection on Domain Adaptation

https://github.com/heaventian93/MDAIR

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Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet

https://github.com/heboyong/Diffusion-Domain-Teacher

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Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector

https://github.com/heboyong/Generalized-Diffusion-Detector

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Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection

https://github.com/heboyong/fitness-generalization-transferability

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Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

https://github.com/hee-suk-yoon/c-tpt

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C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

https://github.com/hehaodele/CIDA

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Continuously Indexed Domain Adaptation

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