https://github.com/syliz517/clip-reid
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
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/szubing/uniood
https://github.com/t0930198/backup
https://github.com/tachitachi/GradientReversal
https://github.com/tadeephuy/GradientReversal
https://github.com/tanjeffreyz/deep-residual-learning
https://github.com/taroogura/Person_reID_baseline_pytorch
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/tcheung99/ResNet_MiniProject
https://github.com/template-aware/TAT
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/tensorflow/models/tree/master/research/deeplab
https://github.com/tensorflow/models/tree/master/research/domain_adaptation
https://github.com/tensorflow/models/tree/master/research/slim
https://github.com/tensorpack/tensorpack
https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet
https://github.com/the-super-toys/glimpse-models
https://github.com/theairbend3r/how-to-train-your-neural-net/blob/master/pytorch/computer_vision/domain_adaptation/gradient_reverse_layer.ipynb
https://github.com/theziqi/dccc
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/thughost2/Padam
https://github.com/thuml/Transfer-Learning-Library
https://github.com/tiagoCuervo/JapaNet
https://github.com/tiancity-NJU/da-faster-rcnn-PyTorch
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/timgaripov/asa
https://github.com/tkkim93/ape
https://github.com/tomektarabasz/deep_person_reid
Learning Generalisable Omni-Scale Representations for Person Re-Identification
https://github.com/towhee-io/towhee
https://github.com/trachpro/arcface-tf2
https://github.com/ucas-vg/groupsampling
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/uclaml/Padam
https://github.com/udase-chime2023/baseline
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
https://github.com/ultralytics/yolov5
https://github.com/userb2020/s3d
https://github.com/usnistgov/image-classification-resnet50
https://github.com/usnistgov/image-regression-resnet50
https://github.com/uw-hai/limeade
https://github.com/v1viswan/Domain_adaptation_in_HRNet
https://github.com/valeoai/ESL
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.