{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:37:41Z","timestamp":1761176261863,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Dataset distillation (DD) aims to improve training efficiency by condensing large datasets into compact yet informative subsets. Existing DD methods primarily use optimization-based approaches for image synthesis, which are computationally intensive. While some recent studies have explored optimization-free alternatives, their simplistic region selection strategies result in poor representations of the original dataset and inefficient utilization of synthetic data during downstream training. To address these limitations, we propose a method called Selection-and-Guidance for Dataset Distillation (SGDD). This approach refines the distillation process through two key stages: region selection and guidance enhancement. Specifically, we first obtain a candidate set of regions from various locations within the images. Then, we utilize the Representative Region Selector and Diverse Region Selector to identify the critical regions for image classification. Furthermore, we generate multiview guidance information for the synthetic data to enhance the distillation process further. By selecting representative and diverse regions while incorporating multiview guidance, our method unleashes the potential of optimization-free DD. Experimental results substantiate the superiority of our approach across various datasets and network architectures.<\/jats:p>","DOI":"10.3233\/faia251286","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:57:02Z","timestamp":1761127022000},"source":"Crossref","is-referenced-by-count":0,"title":["Refining Dataset Distillation via Critical Region Selection and Multiview Teacher Guidance"],"prefix":"10.3233","author":[{"given":"Wenqing","family":"Ye","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China"},{"name":"Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China"}]},{"given":"Xinyu","family":"Li","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, USTC, Hefei, China"}]},{"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China"},{"name":"Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China"},{"name":"Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China"}]},{"given":"Xiaoyan","family":"Sun","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, USTC, Hefei, China"}]},{"given":"Ronald","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China"},{"name":"Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China"}]},{"given":"Mingzhai","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China"},{"name":"Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251286","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:57:03Z","timestamp":1761127023000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251286"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251286","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}