{"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/fast-and-accurate-object-detection-in-high","title":"Fast and accurate object detection in high resolution 4K and 8K video using GPUs","arxiv_id":"1810.10551","date":"2018-10-24","proceeding":null,"authors":["Vít Růžička","Franz Franchetti"],"abstract":"Machine learning has celebrated a lot of achievements on computer vision\ntasks such as object detection, but the traditionally used models work with\nrelatively low resolution images. The resolution of recording devices is\ngradually increasing and there is a rising need for new methods of processing\nhigh resolution data. We propose an attention pipeline method which uses two\nstaged evaluation of each image or video frame under rough and refined\nresolution to limit the total number of necessary evaluations. For both stages,\nwe make use of the fast object detection model YOLO v2. We have implemented our\nmodel in code, which distributes the work across GPUs. We maintain high\naccuracy while reaching the average performance of 3-6 fps on 4K video and 2\nfps on 8K video.","url_abs":"http://arxiv.org/abs/1810.10551v1","url_pdf":"http://arxiv.org/pdf/1810.10551v1.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":"fast-and-accurate-object-detection-in-high","repo_url":"https://github.com/previtus/AttentionPipeline","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"4k","task_name":"4k"},{"task_slug":null,"task_name":"8k"},{"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}