{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/amnet-memorability-estimation-with-attention","title":"AMNet: Memorability Estimation with Attention","arxiv_id":"1804.03115","date":"2018-04-09","proceeding":"CVPR 2018 6","authors":["Jiri Fajtl","Vasileios Argyriou","Dorothy Monekosso","Paolo Remagnino"],"abstract":"In this paper we present the design and evaluation of an end-to-end\ntrainable, deep neural network with a visual attention mechanism for\nmemorability estimation in still images. We analyze the suitability of transfer\nlearning of deep models from image classification to the memorability task.\nFurther on we study the impact of the attention mechanism on the memorability\nestimation and evaluate our network on the SUN Memorability and the LaMem\ndatasets. Our network outperforms the existing state of the art models on both\ndatasets in terms of the Spearman's rank correlation as well as the mean\nsquared error, closely matching human consistency.","url_abs":"http://arxiv.org/abs/1804.03115v1","url_pdf":"http://arxiv.org/pdf/1804.03115v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"amnet-memorability-estimation-with-attention","repo_url":"https://github.com/ok1zjf/amnet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.03115","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}