{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:27:04Z","timestamp":1766068024350,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,24]]},"DOI":"10.1145\/3670105.3670149","type":"proceedings-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T18:29:36Z","timestamp":1722277776000},"page":"261-265","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Oriented-YOLOX: An Improved YOLOX for Rotated Object Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0778-8215","authenticated-orcid":false,"given":"Xiaofei","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Automation, Wuhan University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9105-5872","authenticated-orcid":false,"given":"Xi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Automation, Wuhan University of Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"e_1_3_2_1_3_1","volume-title":"Yolov3: An incremental improvement","author":"Redmon J.","year":"1804","unstructured":"J. Redmon and A. Farhadi, \u201cYolov3: An incremental improvement,\u201d arXiv preprint arXiv:1804.02767, 2018."},{"key":"e_1_3_2_1_4_1","volume-title":"Yolov4: optimal speed and accuracy of object detection","author":"Bochkovskiy A.","year":"2004","unstructured":"A. Bochkovskiy, C. Wang, and H. M. Liao, \u201cYolov4: optimal speed and accuracy of object detection,\u201d arXiv preprint arXiv:2004.10934, 2020."},{"key":"e_1_3_2_1_5_1","volume-title":"YOLOv6: A single-stage object detection framework for industrial applications","author":"Li C.","year":"2022","unstructured":"C. Li, , \u201cYOLOv6: A single-stage object detection framework for industrial applications,\u201d arXiv preprint arXiv:2209.02976, 2022."},{"key":"e_1_3_2_1_6_1","volume-title":"Yolox: exceeding yolo series in 2021","author":"Ge Z.","year":"2021","unstructured":"Z. Ge, S. Liu, F. Wang, Z. Li, and J. Sun, \u201cYolox: exceeding yolo series in 2021,\u201d arXiv preprint arXiv:2107.08430, 2021."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"volume-title":"Arbitrary-oriented scene text detection via rotation proposals","author":"Ma J.","key":"e_1_3_2_1_8_1","unstructured":"J. Ma, , \u201cArbitrary-oriented scene text detection via rotation proposals,\u201d IEEE transactions on multimedia, vol. 20, no. 11, pp. 3111-3122, 2018."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00832"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3166956"},{"key":"e_1_3_2_1_12_1","first-page":"18381","article-title":"Learning high-precision bounding box for rotated object detection via kullback-leibler divergence","volume":"34","author":"Yang X.","year":"2021","unstructured":"X. Yang, , \u201cLearning high-precision bounding box for rotated object detection via kullback-leibler divergence,\u201d Advances in Neural Information Processing Systems, vol. 34, pp.18381-18394, 2021.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"e_1_3_2_1_14_1","volume-title":"Advances in neural information processing systems","author":"Ren S.","year":"2015","unstructured":"S. Ren, K. He, R. Girshick, and J. Sun, \u201cFaster r-cnn: Towards real-time object detection with region proposal networks,\u201d Advances in neural information processing systems, vol. 28, 2015."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16426"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"e_1_3_2_1_17_1","volume-title":"IENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection","author":"Lin Y.","year":"1912","unstructured":"Y. Lin, P. Feng, J. Guan, W. Wang, and J. Chambers, \u201cIENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection,\u201d arXiv preprint arXiv:1912.00969, 2019."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs15235499"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00187"},{"key":"e_1_3_2_1_20_1","first-page":"677","volume-title":"16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part VIII 16","author":"Yang X.","year":"2020","unstructured":"X. Yang and J. Yan \u201cArbitrary-oriented object detection with circular smooth label,\u201d Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part VIII 16, 2020, pp. 677-694."},{"key":"e_1_3_2_1_21_1","first-page":"15819","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Yang X.","year":"2020","unstructured":"X. Yang, L. Hou, Y. Zhou, W. Wang, and J. Yan, \u201cDense label encoding for boundary discontinuity free rotation detection,\u201d Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, 2020, pp. 15819-15829."},{"key":"e_1_3_2_1_22_1","first-page":"11830","volume-title":"International conference on machine learning","author":"Yang X.","year":"2021","unstructured":"X. Yang, , \u201cRethinking rotated object detection with gaussian wasserstein distance loss,\u201d International conference on machine learning, 2021, pp. 11830-11841."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"}],"event":{"name":"CNIOT 2024: 2024 5th International Conference on Computing, Networks and Internet of Things","acronym":"CNIOT 2024","location":"Tokyo Japan"},"container-title":["Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670149","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3670105.3670149","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:50:25Z","timestamp":1755877825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670149"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":26,"alternative-id":["10.1145\/3670105.3670149","10.1145\/3670105"],"URL":"https:\/\/doi.org\/10.1145\/3670105.3670149","relation":{},"subject":[],"published":{"date-parts":[[2024,5,24]]},"assertion":[{"value":"2024-07-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}