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A Comparative Study of Outfit Recommendation Methods with a Focus on Attention-based Fusion
Institution:1. Computer Engineering Department, Middle East Technical University, Ankara, Turkey;2. School of Computing Science, University of Glasgow, Glasgow, UK;3. Computer Engineering Department, Bilkent University, Ankara, Turkey;1. The Hong Kong Polytechnic University, Hong Kong, China;2. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China;3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China;4. Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China;5. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China;1. Beijing University of Posts and Telecommunications, Beijing, China;2. Singapore Management University, Singapore;3. Worcester Polytechnic Institute, USA;4. Alibaba Group, Hangzhou, China;1. 710071 School of Computer Science and Technology, Xidian University, Xi''an, PR China;2. 19 Ambo University, Ambo, Ethiopia;1. Information Studies, School of Humanities, University of Glasgow, Glasgow, UK;2. Information School, University of Sheffield, Sheffield, UK;3. Special Collections Service, University of Reading, Reading, UK;1. Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany;2. GLAM – Group on Language, Audio & Music, Imperial College London, UK
Abstract:
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