Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
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Updated
Aug 23, 2018 - Python
Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).
Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
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Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
pytorch implementation for Contrastive Adaptation Network
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Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
A class-based styling approach for Real-time Domain Adaptation in Semantic Segmentation
Unofficial implementation of "AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation"
A PyTorch implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
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