{"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/unsupervised-semantic-based-aggregation-of","title":"Unsupervised Semantic-based Aggregation of Deep Convolutional Features","arxiv_id":"1804.01422","date":"2018-04-03","proceeding":null,"authors":["Jian Xu","Chunheng Wang","Chengzuo Qi","Cunzhao Shi","Baihua Xiao"],"abstract":"In this paper, we propose a simple but effective semantic-based aggregation\n(SBA) method. The proposed SBA utilizes the discriminative filters of deep\nconvolutional layers as semantic detectors. Moreover, we propose the effective\nunsupervised strategy to select some semantic detectors to generate the\n\"probabilistic proposals\", which highlight certain discriminative pattern of\nobjects and suppress the noise of background. The final global SBA\nrepresentation could then be acquired by aggregating the regional\nrepresentations weighted by the selected \"probabilistic proposals\"\ncorresponding to various semantic content. Our unsupervised SBA is easy to\ngeneralize and achieves excellent performance on various tasks. We conduct\ncomprehensive experiments and show that our unsupervised SBA outperforms the\nstate-of-the-art unsupervised and supervised aggregation methods on image\nretrieval, place recognition and cloud classification.","url_abs":"http://arxiv.org/abs/1804.01422v1","url_pdf":"http://arxiv.org/pdf/1804.01422v1.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":"unsupervised-semantic-based-aggregation-of","repo_url":"https://github.com/XJhaoren/PWA","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}