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Multiview Active Learning for Scene Classification with High-Level Semantic-Based Hypothesis Generation
Joint Authors
Gu, Yuhong
Yao, Tuozhong
Wang, Wenfeng
Zhu, Qiuguo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multiview active learning (MVAL) is a technique which can result in a large decrease in the size of the version space than traditional active learning and has great potential applications in large-scale data analysis.
This paper made research on MVAL-based scene classification for helping the computer accurately understand diverse and complex environments macroscopically, which has been widely used in many fields such as image retrieval and autonomous driving.
The main contribution of this paper is that different high-level image semantics are used for replacing the traditional low-level features to generate more independent and diverse hypotheses in MVAL.
First, our algorithm uses different object detectors to achieve local object responses in the scenes.
Furthermore, we design a cascaded online LDA model for mining the theme semantic of an image.
The experimental results demonstrate that our proposed theme modeling strategy fits the large-scale data learning, and our MVAL algorithm with both high-level semantic views can achieve significant improvement in the scene classification than traditional active learning-based algorithms.
American Psychological Association (APA)
Yao, Tuozhong& Wang, Wenfeng& Gu, Yuhong& Zhu, Qiuguo. 2020. Multiview Active Learning for Scene Classification with High-Level Semantic-Based Hypothesis Generation. Scientific Programming،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209016
Modern Language Association (MLA)
Yao, Tuozhong…[et al.]. Multiview Active Learning for Scene Classification with High-Level Semantic-Based Hypothesis Generation. Scientific Programming No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1209016
American Medical Association (AMA)
Yao, Tuozhong& Wang, Wenfeng& Gu, Yuhong& Zhu, Qiuguo. Multiview Active Learning for Scene Classification with High-Level Semantic-Based Hypothesis Generation. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209016
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209016