Smell and Emotion: Recognising emotions in smell-related artworks
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Abstract (arXiv)
Emotions and smell are underrepresented in digital art history. In this exploratory work, we show that recognising emotions from smell-related artworks is technically feasible but has room for improvement. Using style transfer and hyperparameter optimization we achieve a minor performance boost and open up the field for future extensions.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 25 references that are in the map. First posted on arXiv 5 Jul 2024.
Builds on
7 of 25 references.
References · 7
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2016Densely Connected Convolutional Networkscited by 6,691
- 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
- 2021ArtEmis: Affective Language for Visual Artcited by 103
- 2020Context Based Emotion Recognition using EMOTIC Datasetcited by 73
- 2023ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognitioncited by 6
- 2023SniffyArt: The Dataset of Smelling Personscited by 6
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Citing papers per year: 2024: 1; 2025: 1.
2 papers.