{"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/semantic-aware-attention-based-deep-object-co","title":"Semantic Aware Attention Based Deep Object Co-segmentation","arxiv_id":"1810.06859","date":"2018-10-16","proceeding":null,"authors":["Hong Chen","Yifei HUANG","Hideki Nakayama"],"abstract":"Object co-segmentation is the task of segmenting the same objects from\nmultiple images. In this paper, we propose the Attention Based Object\nCo-Segmentation for object co-segmentation that utilize a novel attention\nmechanism in the bottleneck layer of deep neural network for the selection of\nsemantically related features. Furthermore, we take the benefit of attention\nlearner and propose an algorithm to segment multi-input images in linear time\ncomplexity. Experiment results demonstrate that our model achieves state of the\nart performance on multiple datasets, with a significant reduction of\ncomputational time.","url_abs":"http://arxiv.org/abs/1810.06859v1","url_pdf":"http://arxiv.org/pdf/1810.06859v1.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":"semantic-aware-attention-based-deep-object-co","repo_url":"https://github.com/dmsi-ods/test-repo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"semantic-aware-attention-based-deep-object-co","repo_url":"https://github.com/me2banleki/Semantic-Aware-Attention-Based-Deep-Object-Co-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"semantic-aware-attention-based-deep-object-co","repo_url":"https://github.com/sairin1202/Semantic-Aware-Attention-Based-Deep-Object-Co-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.06859","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}