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Deep Hashing for Unsupervised Adaptation by ddeemmoo.0718 is a document available to read on EtoBox.

The document presents a novel deep learning framework called Domain Adaptive Hashing (DAH) for unsupervised domain adaptation, which utilizes a new dataset, Office-Home, to evaluate its effectiveness. DAH leverages labeled data from a source domain and unlabeled data from a target domain to learn informative hash codes for accurate classification of unseen target data. The framework incorporates a unique loss function that includes supervised and unsupervised components to align feature representations betw

Author
ddeemmoo.0718
Language
EN