Presentation

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64. Controllable Image Similarity via Factorized Visual Features
SessionPosters: Images, Video & Computer Vision
DescriptionWe present a controllable image similarity framework that decomposes images into semantic and visual factors, enabling flexible similarity definitions via weighting and improving accuracy over holistic methods in creative domains such as illustrations and logos.
Contributors
Sou Tabata
Dai Nippon Printing Co., Ltd.
Keiji Kato
Dai Nippon Printing Co., Ltd.
Yuto Tamura
Dai Nippon Printing Co., Ltd.
Hajime Seino
Dai Nippon Printing Co., Ltd.
Event Type
Poster
TimeSunday, 19 July 20269:00am - 5:30pm PDT
LocationWest Hall Lobby
Session TimeSunday, 19 July 20269:00am - 5:30pm PDTMonday, 20 July 20269:00am - 5:30pm PDTTuesday, 21 July 20269:00am - 5:30pm PDTWednesday, 22 July 20269:00am - 5:30pm PDTThursday, 23 July 20269:00am - 5:30pm PDT
LocationWest Hall Lobby
Registration Categories
Full Conference Supporter
Full Conference
Experience
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