Original paper
TransZero: Attribute-Guided Transformer for Zero-Shot Learning
Volume: 36, Issue: 1, Pages: 330 - 338
Published: Jun 28, 2022
Abstract
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen ones. Semantic knowledge is learned from attribute descriptions shared between different classes, which are strong prior for localization of object attribute for representing discriminative region features enabling significant visual-semantic interaction. Although few attention-based models have attempted to learn such region...
Paper Details
Title
TransZero: Attribute-Guided Transformer for Zero-Shot Learning
Published Date
Jun 28, 2022
Volume
36
Issue
1
Pages
330 - 338