mlsanityData to 7 Oct 2026

Smell and Emotion: Recognising emotions in smell-related artworks

arXiv 2407.04592 ↗First posted 5 Jul 2024cs.CVcited by 2

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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

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2016Densely Connected Convolutional Networkscited by 6,691
  3. 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
  4. 2021ArtEmis: Affective Language for Visual Artcited by 103
  5. 2020Context Based Emotion Recognition using EMOTIC Datasetcited by 73
  6. 2023ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognitioncited by 6
  7. 2023SniffyArt: The Dataset of Smelling Personscited by 6

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Citing papers per year: 2024: 1; 2025: 1.

2 papers.