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...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/8517130/ |
Similar Items
-
Using Text and Visual Cues for Fine-Grained Classification
by: Zaryab Shaker, et al.
Published: (2021-09-01) -
Scene Text Detection Using Attention with Depthwise Separable Convolutions
by: Hassan, E., et al.
Published: (2022) -
Unconstrained Bilingual Scene Text Reading Using Octave as a Feature Extractor
by: Direselign Addis Tadesse, et al.
Published: (2020-06-01) -
Towards Accurate Scene Text Detection with Bidirectional Feature Pyramid Network
by: Dongping Cao, et al.
Published: (2021-03-01) -
Scene Text Detection with Polygon Offsetting and Border Augmentation
by: Thananop Kobchaisawat, et al.
Published: (2020-01-01)