Towards Transparent Deep Image Aesthetics Assessment with Tag-based Content Descriptors
Deep learning approaches for Image Aesthetics Assessment (IAA) have shown promising results in recent years, but the internal mechanisms of these models remain unclear. Previous studies have demonstrated that image aesthetics can be predicted using semantic features, such as pre-trained object class...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2023) vom: 30. Aug.
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| Auteur principal: |
Hou, Jingwen
(Auteur) |
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| Autres auteurs: |
Lin, Weisi,
Fang, Yuming,
Wu, Haoning,
Chen, Chaofeng,
Liao, Liang,
Liu, Weide |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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