{"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/sslayout360-semi-supervised-indoor-layout","title":"SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama","arxiv_id":"2103.13696","date":"2021-03-25","proceeding":null,"authors":["Phi Vu Tran"],"abstract":"Recent years have seen flourishing research on both semi-supervised learning and 3D room layout reconstruction. In this work, we explore the intersection of these two fields to advance the research objective of enabling more accurate 3D indoor scene modeling with less labeled data. We propose the first approach to learn representations of room corners and boundaries by using a combination of labeled and unlabeled data for improved layout estimation in a 360-degree panoramic scene. Through extensive comparative experiments, we demonstrate that our approach can advance layout estimation of complex indoor scenes using as few as 20 labeled examples. When coupled with a layout predictor pre-trained on synthetic data, our semi-supervised method matches the fully supervised counterpart using only 12% of the labels. Our work takes an important first step towards robust semi-supervised layout estimation that can enable many applications in 3D perception with limited labeled data.","url_abs":"https://arxiv.org/abs/2103.13696v3","url_pdf":"https://arxiv.org/pdf/2103.13696v3.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":"sslayout360-semi-supervised-indoor-layout","repo_url":"https://github.com/flyreelai/sslayout360","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"3d-room-layouts-from-a-single-rgb-panorama","task_name":"3D Room Layouts From A Single RGB Panorama"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/3d-room-layouts-from-a-single-rgb-panorama-on","task":"3D Room Layouts From A Single RGB Panorama","dataset":"PanoContext","model":"SSLayout360","rank_in_archive_order":2,"of":7,"metrics":{"3DIoU":"83.30"},"uses_additional_data":false},{"leaderboard":"/sota/3d-room-layouts-from-a-single-rgb-panorama-on-3","task":"3D Room Layouts From A Single RGB Panorama","dataset":"Stanford2D3D Panoramic","model":"SSLayout360","rank_in_archive_order":2,"of":9,"metrics":{"3DIoU":"84.66","Corner Error":"0.60","Pixel Error":"1.97"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2103.13696","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}