{"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/updating-the-vesicle-cnn-synapse-detector","title":"Updating the VESICLE-CNN Synapse Detector","arxiv_id":"1710.11397","date":"2017-10-31","proceeding":null,"authors":["Andrew Warrington","Frank Wood"],"abstract":"We present an updated version of the VESICLE-CNN algorithm presented by\nRoncal et al. (2014). The original implementation makes use of a patch-based\napproach. This methodology is known to be slow due to repeated computations. We\nupdate this implementation to be fully convolutional through the use of dilated\nconvolutions, recovering the expanded field of view achieved through the use of\nstrided maxpools, but without a degradation of spatial resolution. This updated\nimplementation performs as well as the original implementation, but with a\n$600\\times$ speedup at test time. We release source code and data into the\npublic domain.","url_abs":"http://arxiv.org/abs/1710.11397v1","url_pdf":"http://arxiv.org/pdf/1710.11397v1.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":"updating-the-vesicle-cnn-synapse-detector","repo_url":"https://github.com/andrewwarrington/vesicle-cnn-2","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}