Cross-Modal Retrieval via Similarity-Preserving Learning and Semantic Average Embedding

Cross-modal retrieval takes one modality data as the query to search related data from different modalities (e.g. images vs. texts). As the heterogeneous gap exists between different media data, mainstream methods focus on reducing modality gap using common space learning. However, the heterogeneous...

Full description

Bibliographic Details
Main Authors: Tao Zhi, Yingchun Fan, Hong Han
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9291381/