{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T07:06:05Z","timestamp":1767078365987,"version":"3.48.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,3]]},"DOI":"10.1109\/dicta68720.2025.11302494","type":"proceedings-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:36:22Z","timestamp":1767033382000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Logit Mixture Outlier Exposure for Fine-Grained Out-Of-Distribution Detection"],"prefix":"10.1109","author":[{"given":"Akito","family":"Shinohara","sequence":"first","affiliation":[{"name":"Hiroshima University,Hiroshima,Japan"}]},{"given":"Kohei","family":"Fukuda","sequence":"additional","affiliation":[{"name":"Hiroshima University,Hiroshima,Japan"}]},{"given":"Hiroaki","family":"Aizawa","sequence":"additional","affiliation":[{"name":"Hiroshima University,Hiroshima,Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/390"},{"journal-title":"Taylor outlier exposure","year":"2024","author":"Fukuda","key":"ref2"},{"key":"ref3","article-title":"Deep residual learning for image recognition","volume":"abs\/1512.03385","author":"He","year":"2015","journal-title":"CoRR"},{"key":"ref4","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume":"abs\/1610.02136","author":"Hendrycks","year":"2016","journal-title":"CoRR"},{"key":"ref5","article-title":"Deep anomaly detection with outlier exposure","volume":"abs\/1812.04606","author":"Hendrycks","year":"2018","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298658"},{"key":"ref7","article-title":"A simple weight decay can improve generalization","volume-title":"Advances in Neural Information Processing Systems","volume":"4","author":"Krogh","year":"1991"},{"journal-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","year":"2018","author":"Lee","key":"ref8"},{"journal-title":"Webvision database: Visual learning and understanding from web data","year":"2017","author":"Li","key":"ref9"},{"key":"ref10","article-title":"Principled detection of out-of-distribution examples in neural networks","volume":"abs\/1706.02690","author":"Liang","year":"2017","journal-title":"CoRR"},{"key":"ref11","article-title":"Noisy feature mixup","volume-title":"International Conference on Learning Representations (ICLR)","author":"Lim","year":"2022"},{"key":"ref12","article-title":"Graphebm: Molecular graph generation with energy-based models","volume":"abs\/2102.00546","author":"Liu","year":"2021","journal-title":"CoRR"},{"journal-title":"Finegrained visual classification of aircraft","year":"2013","author":"Maji","key":"ref13"},{"key":"ref14","first-page":"55","volume-title":"Early stopping-but when? In Neural Networks: Tricks of the trade","author":"Prechelt","year":"2002"},{"issue":"56","key":"ref15","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","volume-title":"International conference on machine learning","author":"Verma","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1_79"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00549"},{"journal-title":"Butterfly 200: A large-scale dataset for butterfly species classification.","year":"2021","author":"Zhao","key":"ref21"}],"event":{"name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","start":{"date-parts":[[2025,12,3]]},"location":"Adelaide, Australia","end":{"date-parts":[[2025,12,5]]}},"container-title":["2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11302408\/11302416\/11302494.pdf?arnumber=11302494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T07:01:33Z","timestamp":1767078093000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11302494\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/dicta68720.2025.11302494","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]}}}