Papers with Code 아카이브
Unsupervised Domain Adaptation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/kwantommy/fgvc6-kaggle-cassava-classification
https://github.com/kwotsin/TensorFlow-ENet
https://github.com/kyle-dorman/bayesian-neural-network-blogpost
https://github.com/lab-midas/med_segmentation
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/lancerane/Adversarial-domain-adaptation
https://github.com/lavoiems/Cats-UDT
https://github.com/lavoiems/SADt
https://github.com/lavoiems/SPUDT
https://github.com/layumi/DG-Net
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/layumi/Person_reID_baseline_pytorch
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/leemathew1998/GradientWeight
https://github.com/leemathew1998/RG
https://github.com/lianqing11/pycda
https://github.com/linainsaf/RESNET50_PNEUMONIA_DETECTION
https://github.com/lithium770/Unsupervised-Person-Re-identification-with-Stochastic-Training-Strategy
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/lithium770/unsupervised-person-re-id-with-stochastic-training-strategy
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/liuyao12/ConvNets-PDE-perspective
https://github.com/lixihan/Resnet
https://github.com/lixixibj/forecasting-with-time-series-imaging
https://github.com/lixixibj/tsImage-forecasting
https://github.com/ljy-hy/mentormix_pytorch
https://github.com/lkeonwoo94/DL_cv-mdt_NVIDIA_Cert_Course_StudyPI
https://github.com/ls-da3m0ns/Short-ResNet
https://github.com/lsh110600/person_re_id
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/lukasbommes/pv-hawk
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
https://github.com/lxy000719/ResNet-50-pneumonia-classification
https://github.com/lywang12/cupi-domain
https://github.com/lywang12/cuti-domain
https://github.com/lzx6/deep-coral
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
https://github.com/lzx6/pytorch_DA
https://github.com/mabhay3420/Deep-Into-CNN
https://github.com/maciejdomagala/DLWP_notes
https://github.com/magnificent1208/r3det-on-mmdetection
https://github.com/mahmoodlab/hest
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.