May 2, 2024, 4:44 a.m. | Alex Kim, Jia Huang, Rob Monarch, Jerry Kwac, Anikesh Kamath, Parmeshwar Khurd, Kailash Thiyagarajan, Goodman Gu

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.00029v1 Announce Type: new
Abstract: Application developers advertise their Apps by creating product pages with App images, and bidding on search terms. It is then crucial for App images to be highly relevant with the search terms. Solutions to this problem require an image-text matching model to predict the quality of the match between the chosen image and the search terms. In this work, we present a novel approach to matching an App image to search terms based on fine-tuning …

abstract app application apps arxiv bidding creative cs.cv cs.ir developers image images match modal product quality search solutions terms text type

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