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Unsupervised Domain Adaptation

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평가표: 49
보존된 평가 기록: 393

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ismailnejjar/dare-gram

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DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

https://github.com/ismhinolab/gda_via_cnf

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Gradual Domain Adaptation via Normalizing Flows

https://github.com/ispc-lab/glc

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Upcycling Models under Domain and Category Shift

https://github.com/jacky121298/wlst

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WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection

https://github.com/jacobzhaoziyuan/MT-UDA

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MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

https://github.com/jacobzhaoziyuan/le-uda

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LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

https://github.com/jakobabesser/icassp_2022_disentanglementasc

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Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

https://github.com/jamycheung/trans4pass

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Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

https://github.com/jayparanjape/barlow-adaptor

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Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

https://github.com/jensle97/lion-xa

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LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

https://github.com/jetwev/domain-adaptation

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Unsupervised Domain Adaptation with Deep Neural-Network

https://github.com/jh-yi/mv-match

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MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies

https://github.com/jhb86253817/uda_med_landmark

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Unsupervised Domain Adaptation for Anatomical Landmark Detection

https://github.com/jhyun17/cowa-jmds

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Confidence Score for Source-Free Unsupervised Domain Adaptation

https://github.com/jiangfeng1124/transfer

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Multi-Source Domain Adaptation with Mixture of Experts

https://github.com/jiangzhengkai/proca

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Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

https://github.com/jiaxin-ye/emo-dna

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Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition

https://github.com/jichengyuan/cooperitive_students

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Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection

https://github.com/jiehonglin/self-dpdn

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Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

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/jind11/DAMT

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

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/jingjiang02/dta4pass

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Multi-source Domain Adaptation for Panoramic Semantic Segmentation

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/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/jkee58/csi

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Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs

https://github.com/jmiemirza/dua

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

https://github.com/jnyborg/timematch

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TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation

https://github.com/joelesol/dranet-swd

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Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation

https://github.com/jonas-lippl/fact

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FACT: Federated Adversarial Cross Training

https://github.com/joonh-kim/etm

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Continual Unsupervised Domain Adaptation for Semantic Segmentation

https://github.com/joonholee-research/muda

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Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models

https://github.com/joshualpf/lowbridge

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Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

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