Multi-level transitional contrast learning for personalized image aesthetics assessment

• المؤلفون الرئيسيون: Yang, Zhichao, Li, Leida, Yang, Yuzhe, Li, Yaqian, Lin, Weisi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Contrast Learning; Aesthetic Preferences
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171829

Personalized image aesthetics assessment (PIAA) is aimed at modeling the unique aesthetic preferences of individuals, based on which personalized aesthetic scores are predicted. People have different standards for image aesthetics, and accordingly, images rated at the same aesthetic level by differe...