Generative AI-based style recommendation using fashion item detection and classification

Author:

Kalinin Aleksandr,Jafari Akbar Anbar,Avots Egils,Ozcinar Cagri,Anbarjafari Gholamreza

Publisher

Springer Science and Business Media LLC

Reference28 articles.

1. Reid, M., Savinov, N., Teplyashin, D., Lepikhin, D., Lillicrap, T., Alayrac, J.-b., Soricut, R., Lazaridou, A., Firat, O., Schrittwieser, J., et al.: Gemini 1.5: unlocking multimodal understanding across millions of tokens of context. arXiv preprint arXiv:2403.05530, (2024)

2. Templeton, A., Conerly, T., Marcus, J., Lindsey, J., Bricken, T., Chen, B., Pearce, A., Citro, C., Ameisen, E., Jones, A., et al.: Scaling monosemanticity: extracting interpretable features from claude 3 sonnet. Transform. Circuits Thread (2024)

3. Global fashion retail market analysis. https://tinyurl.com/4na63vma, accessed: 2024-05-27

4. Martinsson, J., Mogren, O.: Semantic segmentation of fashion images using feature pyramid networks. In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, pp. 0–0 (2019)

5. Yıldız, E., Güngör Şen, C., Işık, E.E.: A hyper-personalized product recommendation system focused on customer segmentation: an application in the fashion retail industry. J. Theor. Appl. Electron. Commer. Res. 18(1), 571–596 (2023)

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