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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/02bigboy/tsrp

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Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation

https://github.com/1003389754/ren

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Robust Ensembling Network for Unsupervised Domain Adaptation

https://github.com/4dvlab/cl3d

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CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

https://github.com/AI-NERC-NUPT/MEDM

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Entropy Minimization vs. Diversity Maximization for Domain Adaptation

https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation

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Syn2Real: Forgery Classification via Unsupervised Domain Adaptation

https://github.com/Albert0147/BAIT_SFUDA

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Casting a BAIT for Offline and Online Source-free Domain Adaptation

https://github.com/Alexander-H-Liu/UFDN

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A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

https://github.com/AlexisGuichemerreCode/survey_hist_wsol_sfda

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Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology

https://github.com/BOBrown/JADF-caffe

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Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

https://github.com/CARG-uOttawa/DrIFT

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DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains

https://github.com/CTI-VISION/Mirror-Sample

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Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment

https://github.com/CVLAB-Unibo/Unsupervised_Depth_Adaptation

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Unsupervised Domain Adaptation for Depth Prediction from Images

https://github.com/CVMI-Lab/ST3D

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ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

https://github.com/Captain-Hong/UDA-via-joint-adversarial-learning-and-self-learning

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Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

https://github.com/Cardio-AI/3d-mri-domain-adaptation

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Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks

https://github.com/Cavin-Lee/PAS

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Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces

https://github.com/ChenDelong1999/HHForecasting

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A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting

https://github.com/ChristophRaab/nso

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Low-Rank Subspace Override for Unsupervised Domain Adaptation

https://github.com/CuthbertCai/SRDA

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Learning Smooth Representation for Unsupervised Domain Adaptation

https://github.com/Cuzyoung/CoDA

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CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

https://github.com/DJEddyking/LF2

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Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification

https://github.com/DZhaoXd/SND

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Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

https://github.com/Dayan-Guan/DA-VSN

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Domain Adaptive Video Segmentation via Temporal Consistency Regularization

https://github.com/Dayan-Guan/UaDAN

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Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection

https://github.com/DelTA-Lab-IITK/SFDA

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Domain Impression: A Source Data Free Domain Adaptation Method

https://github.com/DianCh/AdaContrast

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Contrastive Test-Time Adaptation

https://github.com/Dingkun0817/SDDA

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Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification

https://github.com/Dong-Jie-Chen/RCL

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Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning

https://github.com/EmmaW8/BEAL

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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

https://github.com/ErikBrorsson/MVUDA

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MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection

https://github.com/Externalhappy/DPA

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DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models

https://github.com/FengHZ/KD3A

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KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

https://github.com/FlyingRoastDuck/ACT_AAAI20

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Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification

https://github.com/Gabrielcb/Unsupervised_selfAdaptative_ReID

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Unsupervised and self-adaptative techniques for cross-domain person re-identification

https://github.com/GaoLii/DSP

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DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation

https://github.com/HCPLab-SYSU/MSDA

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Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

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