{"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/surface-defect-saliency-of-magnetic-tile","title":"Surface Defect Saliency of Magnetic Tile","arxiv_id":null,"date":"2018-08-24","proceeding":null,"authors":["Yibin Huang","Congying Qiu","Yue Guo","Xiaonan Wang","and Kui Yuan"],"abstract":"Vision-based detection on surface defects has long postulated in the magnetic tile automation process. In this work, we introduce a real-time and multi-module neural network model called MCuePush U-Net, specifically designed for the image saliency detection of magnetic tile. We show that the model exceeds the state-of-the-art, in which it both effectively and explicitly maps multiple surface defects from low-contrast images. Our model significantly reduces time cost of machinery from 0.5s per image to 0.07s, and enhances saliency accuracy on surface defect detection.","url_abs":"https://www.researchgate.net/publication/325882869_Surface_Defect_Saliency_of_Magnetic_Tile","url_pdf":"https://www.researchgate.net/publication/325882869_Surface_Defect_Saliency_of_Magnetic_Tile","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":"surface-defect-saliency-of-magnetic-tile","repo_url":"https://github.com/abin24/Saliency-detection-toolbox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"},{"task_slug":"defect-detection","task_name":"Defect Detection"},{"task_slug":"saliency-detection","task_name":"Saliency Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/anomaly-detection-on-surface-defect-saliency","task":"Anomaly Detection","dataset":"Surface Defect Saliency of Magnetic Tile","model":"MCuePush (supervised)","rank_in_archive_order":4,"of":4,"metrics":{"Segmentation AUROC":"98.5"},"uses_additional_data":true}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}