{"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-zero-shot-learning-with","title":"Multi-Label Zero-Shot Learning with Structured Knowledge Graphs","arxiv_id":"1711.06526","date":"2017-11-17","proceeding":"CVPR 2018 6","authors":["Chung-Wei Lee","Wei Fang","Chih-Kuan Yeh","Yu-Chiang Frank Wang"],"abstract":"In this paper, we propose a novel deep learning architecture for multi-label\nzero-shot learning (ML-ZSL), which is able to predict multiple unseen class\nlabels for each input instance. Inspired by the way humans utilize semantic\nknowledge between objects of interests, we propose a framework that\nincorporates knowledge graphs for describing the relationships between multiple\nlabels. Our model learns an information propagation mechanism from the semantic\nlabel space, which can be applied to model the interdependencies between seen\nand unseen class labels. With such investigation of structured knowledge graphs\nfor visual reasoning, we show that our model can be applied for solving\nmulti-label classification and ML-ZSL tasks. Compared to state-of-the-art\napproaches, comparable or improved performances can be achieved by our method.","url_abs":"http://arxiv.org/abs/1711.06526v2","url_pdf":"http://arxiv.org/pdf/1711.06526v2.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-zero-shot-learning-with","repo_url":"https://github.com/Phoenix1327/ML-ZSL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"},{"task_slug":"multi-label-zero-shot-learning","task_name":"Multi-label zero-shot learning"},{"task_slug":"visual-reasoning","task_name":"Visual Reasoning"},{"task_slug":"zero-shot-learning","task_name":"Zero-Shot Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.06526","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}