{"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/visual-mesh-real-time-object-detection-using","title":"Visual Mesh: Real-time Object Detection Using Constant Sample Density","arxiv_id":"1807.08405","date":"2018-07-23","proceeding":null,"authors":["Trent Houliston","Stephan K. Chalup"],"abstract":"This paper proposes an enhancement of convolutional neural networks for\nobject detection in resource-constrained robotics through a geometric input\ntransformation called Visual Mesh. It uses object geometry to create a graph in\nvision space, reducing computational complexity by normalizing the pixel and\nfeature density of objects. The experiments compare the Visual Mesh with\nseveral other fast convolutional neural networks. The results demonstrate\nexecution times sixteen times quicker than the fastest competitor tested, while\nachieving outstanding accuracy.","url_abs":"http://arxiv.org/abs/1807.08405v1","url_pdf":"http://arxiv.org/pdf/1807.08405v1.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":"visual-mesh-real-time-object-detection-using","repo_url":"https://github.com/Fastcode/VisualMesh","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"real-time-object-detection","task_name":"Real-Time Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}