Cross‐modal semantic correlation learning by Bi‐CNN network
Abstract Cross modal retrieval can retrieve images through a text query and vice versa. In recent years, cross modal retrieval has attracted extensive attention. The purpose of most now available cross modal retrieval methods is to find a common subspace and maximize the different modal correlation....
Enregistré dans:
Auteurs principaux: | Chaoyi Wang, Liang Li, Chenggang Yan, Zhan Wang, Yaoqi Sun, Jiyong Zhang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/63c3d119128048deb09c7f15c31adc7e |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Crowd understanding and analysis
par: Qi Wang, et autres
Publié: (2021) -
Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial
par: Donghua Jiang, et autres
Publié: (2021) -
Human behaviour recognition with mid‐level representations for crowd understanding and analysis
par: Bangyong Sun, et autres
Publié: (2021) -
A deep learning method for video‐based action recognition
par: Guanwen Zhang, et autres
Publié: (2021) -
Class structure‐aware adversarial loss for cross‐domain human action recognition
par: Wanjun Chen, et autres
Publié: (2021)