{"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/viraliency-pooling-local-virality","title":"Viraliency: Pooling Local Virality","arxiv_id":"1703.03937","date":"2017-03-11","proceeding":"CVPR 2017 7","authors":["Xavier Alameda-Pineda","Andrea Pilzer","Dan Xu","Nicu Sebe","Elisa Ricci"],"abstract":"In our overly-connected world, the automatic recognition of virality - the\nquality of an image or video to be rapidly and widely spread in social networks\n- is of crucial importance, and has recently awaken the interest of the\ncomputer vision community. Concurrently, recent progress in deep learning\narchitectures showed that global pooling strategies allow the extraction of\nactivation maps, which highlight the parts of the image most likely to contain\ninstances of a certain class. We extend this concept by introducing a pooling\nlayer that learns the size of the support area to be averaged: the learned\ntop-N average (LENA) pooling. We hypothesize that the latent concepts (feature\nmaps) describing virality may require such a rich pooling strategy. We assess\nthe effectiveness of the LENA layer by appending it on top of a convolutional\nsiamese architecture and evaluate its performance on the task of predicting and\nlocalizing virality. We report experiments on two publicly available datasets\nannotated for virality and show that our method outperforms state-of-the-art\napproaches.","url_abs":"http://arxiv.org/abs/1703.03937v2","url_pdf":"http://arxiv.org/pdf/1703.03937v2.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":"viraliency-pooling-local-virality","repo_url":"https://github.com/xavirema/lena_pooling","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}