{"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/saltinet-scan-path-prediction-on-360-degree","title":"SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes","arxiv_id":"1707.03123","date":"2017-07-11","proceeding":null,"authors":["Marc Assens","Kevin McGuinness","Xavier Giro-i-Nieto","Noel E. O'Connor"],"abstract":"We introduce SaltiNet, a deep neural network for scanpath prediction trained\non 360-degree images. The model is based on a temporal-aware novel\nrepresentation of saliency information named the saliency volume. The first\npart of the network consists of a model trained to generate saliency volumes,\nwhose parameters are fit by back-propagation computed from a binary cross\nentropy (BCE) loss over downsampled versions of the saliency volumes. Sampling\nstrategies over these volumes are used to generate scanpaths over the\n360-degree images. Our experiments show the advantages of using saliency\nvolumes, and how they can be used for related tasks. Our source code and\ntrained models available at\nhttps://github.com/massens/saliency-360salient-2017.","url_abs":"http://arxiv.org/abs/1707.03123v5","url_pdf":"http://arxiv.org/pdf/1707.03123v5.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":"saltinet-scan-path-prediction-on-360-degree","repo_url":"https://github.com/massens/saliency-360salient-2017","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"scanpath-prediction","task_name":"Scanpath prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1707.03123","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}