A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment

A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment

In transfer learning, domain adaptation is one of the key research areas. For domain adaptation, domain shift is a known problem when the data distribution of the source domain, from which the training data is fetched, and the target domain, from which the test data is fetched, vary significantly. A...

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Bibliographic Details
Main Authors: Pranav Kumar, Jimson Mathew, Rakesh Kumar Sanodiya, Avinash Kumar Chouhan, Rahul Reddy Bukkasamudram, Chandra Sai Teja Adhikarla
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
transfer learning
domain adaptation
image classification
attention mechanism
entropy loss
Online Access:https://www.mdpi.com/1424-8220/25/12/3671
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