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Domain Adaptation

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하위 태스크: 13
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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/jiejieniu/transcoralnet

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TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start

https://github.com/jihanyang/AFN

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Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

https://github.com/jihunhamm/k-beam-minimax

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K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning

https://github.com/jimmy19991222/elfnet

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ELFNet: Evidential Local-global Fusion for Stereo Matching

https://github.com/jimmy9704/gps-glass

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GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data

https://github.com/jin-ting-he/dadeblur

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Domain-adaptive Video Deblurring via Test-time Blurring

https://github.com/jind11/DAMT

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A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation

https://github.com/jindongli-ai/survey_on_clip-powered_domain_generalization_and_adaptation

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CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey

https://github.com/jindongwang/transferlearning

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Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning

https://github.com/jindongwang/transferlearning/tree/master/code/ASR/CMatch

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Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching

https://github.com/jingchensun/clap-s

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CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition

https://github.com/jinggqu/nextgen-uia

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Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis

https://github.com/jinghuaman/aif-sfda

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AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation

https://github.com/jingjiang02/dta4pass

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Multi-source Domain Adaptation for Panoramic Semantic Segmentation

https://github.com/jinglin-liang/dddr

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Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning

https://github.com/jingtaozhan/disentangled-retriever

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Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

https://github.com/jingwang18/silan

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What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context

https://github.com/jingxiaoliu/HierMUD

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HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis

https://github.com/jingyi0000/bimem

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Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory

https://github.com/jinlong17/da-detect

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Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

https://github.com/jinsuby/domclp

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DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization

https://github.com/jinyeran/source-free_active_domain_adaptation

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Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image

https://github.com/jinyujie99/aidgn

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Domain Generalization through the Lens of Angular Invariance

https://github.com/jitinkrishnan/Crisis-Tweet-Multi-Task-DA

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Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services

https://github.com/jitinkrishnan/Diversity-Based-Generalization

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Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift

https://github.com/jizhizili/rim

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Referring Image Matting

https://github.com/jk-kaijiang/FDDG

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Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously

https://github.com/jkee58/csi

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Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs

https://github.com/jkvc/modular-domain-adaptation

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Modular Domain Adaptation

https://github.com/jlim13/keystroke-inference-attack-deep-learning

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Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data

https://github.com/jlim13/keystroke-inference-attack-synthetic-dataset-generator-

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Revisiting the Threat Space for Vision-based Keystroke Inference Attacks

https://github.com/jmiemirza/dua

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The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

https://github.com/jmjmalik22/hate-speech-detection

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Deep Learning for Hate Speech Detection: A Comparative Study

https://github.com/jniemeijer/didex

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Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation

https://github.com/jnyborg/timematch

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TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation

https://github.com/jo-wang/cal-sfda

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Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

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