{"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/multi-label-cloud-segmentation-using-a-deep","title":"Multi-label Cloud Segmentation Using a Deep Network","arxiv_id":"1903.06562","date":"2019-03-15","proceeding":null,"authors":["Soumyabrata Dev","Shilpa Manandhar","Yee Hui Lee","Stefan Winkler"],"abstract":"Different empirical models have been developed for cloud detection. There is\na growing interest in using the ground-based sky/cloud images for this purpose.\nSeveral methods exist that perform binary segmentation of clouds. In this\npaper, we propose to use a deep learning architecture (U-Net) to perform\nmulti-label sky/cloud image segmentation. The proposed approach outperforms\nrecent literature by a large margin.","url_abs":"http://arxiv.org/abs/1903.06562v1","url_pdf":"http://arxiv.org/pdf/1903.06562v1.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":"multi-label-cloud-segmentation-using-a-deep","repo_url":"https://github.com/Soumyabrata/multilabel-unet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"cloud-detection","task_name":"Cloud Detection"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"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}