{"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/icnet-for-real-time-semantic-segmentation-on","title":"ICNet for Real-Time Semantic Segmentation on High-Resolution Images","arxiv_id":"1704.08545","date":"2017-04-27","proceeding":"ECCV 2018 9","authors":["Hengshuang Zhao","Xiaojuan Qi","Xiaoyong Shen","Jianping Shi","Jiaya Jia"],"abstract":"We focus on the challenging task of real-time semantic segmentation in this\npaper. It finds many practical applications and yet is with fundamental\ndifficulty of reducing a large portion of computation for pixel-wise label\ninference. We propose an image cascade network (ICNet) that incorporates\nmulti-resolution branches under proper label guidance to address this\nchallenge. We provide in-depth analysis of our framework and introduce the\ncascade feature fusion unit to quickly achieve high-quality segmentation. Our\nsystem yields real-time inference on a single GPU card with decent quality\nresults evaluated on challenging datasets like Cityscapes, CamVid and\nCOCO-Stuff.","url_abs":"http://arxiv.org/abs/1704.08545v2","url_pdf":"http://arxiv.org/pdf/1704.08545v2.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":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/hszhao/ICNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/Bigpingping97/ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"ok"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/Mind23-2/MindCode-53","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/daheyinyin/ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/hellochick/ICNet-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/liminn/icnet-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/lisilin013/ICNet-tensorflow-ros","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/lyqcom/icnet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/mattangus/fast-semantic-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/oandrienko/fast-semantic-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/osmr/imgclsmob","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/pooruss/ICNet-Paddle2.2.0rc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/victorpham1997/Local_ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/zh320/realtime-semantic-segmentation-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/Mind23-2/MindCode-3/tree/main/ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/mindspore-ai/models/tree/master/research/cv/ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"icnet-for-real-time-semantic-segmentation-on","repo_url":"https://github.com/yfjcode/ICNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"dichotomous-image-segmentation","task_name":"Dichotomous 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