About this document
Hierarchical Relation in Domain Adaptation by SAFAL BHANDARI is a document available to read on EtoBox.
The document presents HSSDA, a novel Hierarchical relation aided Semi-Supervised Domain Adaptation method that improves classification tasks by incorporating hierarchical relations between parent and child classes into the semi-supervised domain adaptation framework. The model consists of three main components: a feature extraction module, a prototype learning module, and an adversarial adaptation module, which work together to enhance classification performance on datasets with significant domain shifts, s
- Author
- SAFAL BHANDARI
- Language
- EN