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/johngear/eecs504
https://github.com/johnnylu305/resnet-50-101-152
https://github.com/jonmun/EPIC-KITCHENS-100_UDA_TA3N
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
https://github.com/jonmun/MM-SADA-code
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
https://github.com/jtcass01/SIMON
https://github.com/julik43/IIMAS-USCS
https://github.com/jung-jun-uk/mixface
https://github.com/jvanvugt/pytorch-domain-adaptation
https://github.com/jvoynow/ConvNet-Architectures
https://github.com/jxhuang0508/HCL
https://github.com/jxhuang0508/RDA
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
https://github.com/k-miran/hear
https://github.com/kamanphoebe/motiondetection
https://github.com/kaseris/ILSVRCPlus
https://github.com/kclip/localized-adaptive-risk-control
https://github.com/keras-team/keras-applications
https://github.com/kevin851066/Deep_Learning_for_Computer_Vision
https://github.com/kevinmusgrave/pytorch-adapt
https://github.com/kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
https://github.com/kingcong/alexnet
https://github.com/kingcong/gpu_FaceAttribute
https://github.com/kingcong/gpu_SE-Net
https://github.com/kingcong/resnet
https://github.com/kiniavinash/ACAL
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
https://github.com/kiranu1024/deep-learning
https://github.com/kishanAk21/Skin-Cancer-Image-Classification
https://github.com/kishorkuttan/traffic_net
https://github.com/km1414/CNN-models
https://github.com/kmzzhang/nbi
https://github.com/konstantinos-p/image_classification_SOTA
https://github.com/koshian2/ResNet-MultipleFramework
https://github.com/krishnakarthi/COVID-19_Prediction
https://github.com/krumo/Detectron-DA-Faster-RCNN
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/krumo/Domain-Adaptive-Faster-RCNN-PyTorch
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/ksaito-ut/atda
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.