Multi-Task Visual Semantic Embedding Network for Image-Text Retrieval

• Published in: Journal of computer science and technology Vol. 39; no. 4; pp. 811 - 826
• Main Authors: Qin, Xue-Yang, Li, Li-Shuang, Tang, Jing-Yao, Hao, Fei, Ge, Mei-Ling, Pang, Guang-Yao
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.07.2024; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Computer Science; Data Structures and Information Theory; Embedding; Graphical representations; Information flow; Information Systems Applications (incl.Internet); Multilayers; Regular Paper; Retrieval; Semantics; Software Engineering; Theory of Computation; Visual discrimination; Visual tasks; graph convolutional network; image-text retrieval; cross-modal retrieval; multi-task learning

Image-text retrieval aims to capture the semantic correspondence between images and texts, which serves as a foundation and crucial component in multi-modal recommendations, search systems, and online shopping. Existing mainstream methods primarily focus on modeling the association of image-text pai...