{"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/deepproposals-hunting-objects-and-actions-by","title":"DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers","arxiv_id":"1606.04702","date":"2016-06-15","proceeding":null,"authors":["Amir Ghodrati","Ali Diba","Marco Pedersoli","Tinne Tuytelaars","Luc van Gool"],"abstract":"In this paper, a new method for generating object and action proposals in\nimages and videos is proposed. It builds on activations of different\nconvolutional layers of a pretrained CNN, combining the localization accuracy\nof the early layers with the high informative-ness (and hence recall) of the\nlater layers. To this end, we build an inverse cascade that, going backward\nfrom the later to the earlier convolutional layers of the CNN, selects the most\npromising locations and refines them in a coarse-to-fine manner. The method is\nefficient, because i) it re-uses the same features extracted for detection, ii)\nit aggregates features using integral images, and iii) it avoids a dense\nevaluation of the proposals thanks to the use of the inverse coarse-to-fine\ncascade. The method is also accurate. We show that our DeepProposals outperform\nmost of the previously proposed object proposal and action proposal approaches\nand, when plugged into a CNN-based object detector, produce state-of-the-art\ndetection performance.","url_abs":"http://arxiv.org/abs/1606.04702v1","url_pdf":"http://arxiv.org/pdf/1606.04702v1.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":"deepproposals-hunting-objects-and-actions-by","repo_url":"https://github.com/aghodrati/deepproposal","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"}],"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}