Object-scene semantics correlation analysis for image emotion classification

To evaluate the effectiveness of OSAFN, we conducted numerical experiments on four affective datasets. The results demonstrate that OSAFN achieves superior performance and represents a notable contribution in the field of IEC.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-09-10
DOI
https://doi.org/10.3389/fnins.2025.1657562
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Object-scene semantics correlation analysis for image emotion classification

Zhengjun Zhai, Huimin Chen, Sheng Lu, Zibo Zhou
Frontiers in Neuroscience
Image Retrieval and Classification Techniques
article

Object-scene semantics correlation analysis for image emotion classification

Zhengjun Zhai, Huimin Chen, Sheng Lu, Zibo Zhou
article en

Abstract

To evaluate the effectiveness of OSAFN, we conducted numerical experiments on four affective datasets. The results demonstrate that OSAFN achieves superior performance and represents a notable contribution in the field of IEC.

Frontiers in NeuroscienceVol. 19
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 77%
Image Retrieval and Classification Techniques
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