Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Text in natural images contains rich semantics that is often highly relevant to objects or scene. In this paper, we focus on the problem of fully exploiting scene text for visual understanding. The main idea is combining word representations and deep visual features in a globally trainable deep conv...

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Bibliographic Details
Main Authors: Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu, Jiebo Luo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Scene text
fine-grained classification
convolutional neural networks
attention mechanism
product search
Online Access:https://ieeexplore.ieee.org/document/8517130/

Internet

https://ieeexplore.ieee.org/document/8517130/

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