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Unsupervised Domain Adaptation

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하위 태스크: 1
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

코드

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

https://github.com/JanMarcelKezmann/Residual-Network-Architectures

Deep Residual Learning for Image Recognition

https://github.com/JayPatwardhan/ResNet-PyTorch

Deep Residual Learning for Image Recognition

https://github.com/Jeff860530/ADDA

Adversarial Discriminative Domain Adaptation

https://github.com/Jeongyun-Lee-0423/Classification

Deep Residual Learning for Image Recognition

https://github.com/Jeremy-lf/RT-DATR

RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning

https://github.com/JesonZhang822/Dogs-VS-Cats-Project

Deep Residual Learning for Image Recognition

https://github.com/JeyesHan/P2LR

Deep Residual Learning for Image Recognition

https://github.com/Jhonve/jhonve.github.io

Domain Adaptation on Point Clouds via Geometry-Aware Implicits

https://github.com/Jinsung-Jeon/DomainAdaptation

Unsupervised Domain Adaptation through Self-Supervision

https://github.com/Jinsung-Jeon/Unsupervised-Domain-Adaptation-Through-Self-Supervision

Unsupervised Domain Adaptation through Self-Supervision

https://github.com/JoeTracey/Portfolio

Deep Residual Learning for Image Recognition

https://github.com/JorisRoels/domain-adaptive-segmentation

Learning Transferable Features with Deep Adaptation Networks

https://github.com/KaimingHe/deep-residual-networks

Deep Residual Learning for Image Recognition

https://github.com/KarimaCha/CNN_Trust_Prediction

Deep Residual Learning for Image Recognition

https://github.com/KatherineBaq/NMA-CN2021-fMRI_vs_DNNs

Deep Residual Learning for Image Recognition

https://github.com/KeiraZhao/MDAN

Unsupervised Domain Adaptation by Backpropagation

https://github.com/KellerJordan/ResNet-PyTorch-CIFAR10

Deep Residual Learning for Image Recognition

https://github.com/KellyHwong/rethinking_generalization

Deep Residual Learning for Image Recognition

https://github.com/LKLQQ/ssc_resnet50

Deep Residual Learning for Image Recognition

https://github.com/LeDuySon/torchreid_uet_lab

Learning Generalisable Omni-Scale Representations for Person Re-Identification

https://github.com/LiwenWang919/M3-UDA

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

https://github.com/Lornatang/ResNet-PyTorch

Deep Residual Learning for Image Recognition

https://github.com/Luffy03/DCA

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

https://github.com/LuigiRussoDev/Covid19Detection

Deep Residual Learning for Image Recognition

https://github.com/LuigiRussoDev/ResNets

Deep Residual Learning for Image Recognition

https://github.com/LukasBommes/PV-Mapper

Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning

https://github.com/MNaseerSubhani/LSE

Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation

https://github.com/MRLoghmani/relative-rotation

Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition

https://github.com/MS-Mind/MS-Code-02/tree/main/configs/resnet

Deep Residual Learning for Image Recognition

https://github.com/MS-Mind/MS-Code-06/tree/main/osnet

Learning Generalisable Omni-Scale Representations for Person Re-Identification

https://github.com/MarkHershey/arxiv-dl

Deep Residual Learning for Image Recognition

https://github.com/MarvinMartin24/MADA-PL

Domain-Adversarial Training of Neural Networks

https://github.com/Masao-Taketani/FOTS_OCR

Deep Residual Learning for Image Recognition

https://github.com/MatthewAbugeja/osnet

Learning Generalisable Omni-Scale Representations for Person Re-Identification

https://github.com/MaxwellHeller/coffee_fraud_detection

Deep Residual Learning for Image Recognition

https://github.com/Mayurji/Image-Classification-PyTorch

Deep Residual Learning for Image Recognition

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