Papers with Code 아카이브
Unsupervised Domain Adaptation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/alexwdong/IncubatorCVProject
https://github.com/alibaba/EasyCV
https://github.com/alibaba/cluster-contrast-reid
https://github.com/alibaba/eigenscore
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
https://github.com/alililia/ascend_FaceAttribute
https://github.com/alililia/ascend_SE-Net
https://github.com/alililia/ms_extend/tree/main/gpu_resnet
https://github.com/alisha17/benchmarks
https://github.com/alrojo/lasagne_residual_network
https://github.com/alvarobartt/serving-pytorch-models
https://github.com/aman-garg0001/fruit-classifier
https://github.com/amazon-research/long-short-term-transformer
https://github.com/amazon-science/long-short-term-transformer
https://github.com/amogh7joshi/engagement-detection
https://github.com/amogh7joshi/fer
https://github.com/amogh7joshi/plant-health-detection
https://github.com/andreasveit/densenet-pytorch
https://github.com/andrijdavid/clinical-brain-interface-2020
https://github.com/angelvillar96/FaceEmoji
https://github.com/angienikki/openwusu
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
https://github.com/anglihust/Unsupervised-vessel-segmentation
https://github.com/anguyen8/sam
https://github.com/anibali/dsnt-pose2d
https://github.com/aniket-patra-1998/FLOWER_RECOGNITION
https://github.com/anjandeepsahni/face_classification
https://github.com/anjandeepsahni/face_recognition
https://github.com/ankit-vaghela30/Google-landmark-prediction
https://github.com/anoushkrit/Knowledge
https://github.com/antoinedemathelin/wann
https://github.com/anubhav4sachan/domain-adapt
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images
https://github.com/anuraggoel70/Domain-Adversarial-Training-of-Neural-Networks
https://github.com/apple/ml-cvpr2019-swd
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
https://github.com/arahosu/musicslots
https://github.com/ariangc/breinchallenge
https://github.com/armavox/deepcoral-pchelkin
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.