Papers with Code 아카이브
Unsupervised Domain Adaptation
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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/PengyiZhang/MIADeepSSL
https://github.com/Proxim123/person-reID-No1-
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/Punakshi/Deep-Residual-Learning-for-Image-Recognition-Implementation
https://github.com/Rakshit-Shetty/Resnet-Implementation
https://github.com/Raykoooo/IAST
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
https://github.com/RikoLi/PCL-CLIP
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/RobotMobile/cv-deep-learning-paper-review
https://github.com/Rohed/ml-1
https://github.com/SANKHA1/Vehicle-Detection
https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection
https://github.com/Sakib1263/1DResNet-Builder-KERAS
https://github.com/Sakib1263/1DResNet-KERAS
https://github.com/Sakib1263/DenseNet-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-Model-Builder-KERAS
https://github.com/Sakib1263/ResNet-Model-Builder-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-ResNeXt-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-ResNetv2-ResNeXt-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet1D-Model-Builder-KERAS
https://github.com/Sangkwun/Resnet
https://github.com/SarthakGarg13/OTOMYCOSIS
https://github.com/SethEBaldwin/Resnet
https://github.com/Seung-Hun-Lee/ADAS
https://github.com/Shawey94/NoisyNN
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
https://github.com/ShichengChen/Domain-Adversarial-Training-of-Neural-Networks
https://github.com/ShichengChen/WaveNetSeparateAudio
https://github.com/ShigemichiMatsuzaki/MSPL
https://github.com/Shorouq-Aliyan/classification
https://github.com/SiHaoShen/Convolutional-Neural-Networks
https://github.com/Simon4Yan/Learning-via-Translation
https://github.com/TencentYoutuResearch/PersonReID-ACT
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
https://github.com/Terminator8758/CAP-master
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/ThanasisMattas/smartflow
https://github.com/Thehunk1206/Covid-19-chest-X-ray
https://github.com/Thehunk1206/Covid-19-covidcnn
https://github.com/ThomasWestfechtel/GSDE
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.