ArticleJournal of imaging2021
Multimodal Emotion Recognition from Art Using Sequential Co-Attention.
Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- CNN-based detection of pediatric lymphoma on whole body [American journal of nuclear medicine and molecular imaging · 2026Article
- The artistic image processing for visual healing in smart city.Scientific reports · 2024Article
- Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features.Sensors (Basel, Switzerland) · 2023Article
- Multimodal Pediatric Lymphoma Detection using PET and MRI.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Editorial for Special Issue "Fine Art Pattern Extraction and Recognition".Journal of imaging · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modality fusion) to classify emotion in art. The proposed architecture helps the model to focus on learning informative and refined representations for both feature extraction and modality fusion. The resulting system can be used to categorize artworks according to the emotions they evoke; recommend paintings that accentuate or balance a particular mood; search for paintings of a particular style or genre that represents custom content in a custom state of impact. Experimental results on the WikiArt emotion dataset showed the efficiency of the approach proposed and the usefulness of three modalities in emotion recognition.
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Registered trials
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