{"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/recurrent-neural-networks-for-semantic","title":"Recurrent Neural Networks for Semantic Instance Segmentation","arxiv_id":"1712.00617","date":"2017-12-02","proceeding":null,"authors":["Amaia Salvador","Miriam Bellver","Victor Campos","Manel Baradad","Ferran Marques","Jordi Torres","Xavier Giro-i-Nieto"],"abstract":"We present a recurrent model for semantic instance segmentation that\nsequentially generates binary masks and their associated class probabilities\nfor every object in an image. Our proposed system is trainable end-to-end from\nan input image to a sequence of labeled masks and, compared to methods relying\non object proposals, does not require post-processing steps on its output. We\nstudy the suitability of our recurrent model on three different instance\nsegmentation benchmarks, namely Pascal VOC 2012, CVPPP Plant Leaf Segmentation\nand Cityscapes. Further, we analyze the object sorting patterns generated by\nour model and observe that it learns to follow a consistent pattern, which\ncorrelates with the activations learned in the encoder part of our network.\nSource code and models are available at https://imatge-upc.github.io/rsis/","url_abs":"http://arxiv.org/abs/1712.00617v4","url_pdf":"http://arxiv.org/pdf/1712.00617v4.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":"recurrent-neural-networks-for-semantic","repo_url":"https://github.com/imatge-upc/rsis","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"instance-segmentation","task_name":"Instance Segmentation"},{"task_slug":"object","task_name":"Object"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.00617","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}