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M2FN: Multi-step modality fusion for advertisement image assessment

Kyung-Wha Park, Jung-Woo Ha, JungHoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang
2021 Applied Soft Computing  
First, we analyzed large-scale real-world ad log data and, based on our findings, proposed a novel multi-step modality fusion network (M2FN) that determines advertising images likely to appeal to user  ...  We verified M2FN on the AVA dataset, which is widely used for aesthetic image assessment, and then demonstrated that M2FN can achieve state-of-the-art performance in preference prediction using a real-world  ...  The authors thank NAVER AI LAB, NAVER CLOVA for constructive discussion and LINE Corp. for preparing data.  ... 
doi:10.1016/j.asoc.2021.107116 fatcat:lutrwy3ycvdrtfvw7mvca6ozcu