{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:22Z","timestamp":1750220482680,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"major special fund for technological innovation of Hubei Province of China","award":["2019AAA045"],"award-info":[{"award-number":["2019AAA045"]}]},{"name":"Natural Science Foundation of Hubei Province of China","award":["2020CFB645"],"award-info":[{"award-number":["2020CFB645"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3489032","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"205-211","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on Ship Detection in the SAR Image Algorithm Based on Improved SSD"],"prefix":"10.1145","author":[{"given":"Feng","family":"Min","sequence":"first","affiliation":[{"name":"Wuhan Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Liu","sequence":"additional","affiliation":[{"name":"Wuhan Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/07038992.2001.10854896"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.806628"},{"key":"e_1_3_2_1_3_1","volume-title":"Rapid object detection using a boosted cascade of simple features[C]\/\/Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"VIOLA P","year":"2001","unstructured":"VIOLA P , JONES M. Rapid object detection using a boosted cascade of simple features[C]\/\/Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2001 . VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features[C]\/\/Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001."},{"key":"e_1_3_2_1_4_1","first-page":"886","article-title":"Histograms of oriented gradients for human detect ion[C]\/\/Proc. of the IEEE Computer Society inter-national Conference on Computer Vision &","volume":"2005","author":"DALAL N","unstructured":"DALAL N , TRIGGS B . Histograms of oriented gradients for human detect ion[C]\/\/Proc. of the IEEE Computer Society inter-national Conference on Computer Vision & . Pattern Recognition , 2005 : 886 - 893 . DALAL N, TRIGGS B. Histograms of oriented gradients for human detect ion[C]\/\/Proc. of the IEEE Computer Society inter-national Conference on Computer Vision &. Pattern Recognition, 2005:886-893.","journal-title":"Pattern Recognition"},{"key":"e_1_3_2_1_5_1","volume-title":"Unconstrained face detection: state of the art baseline and challenges[C]\/\/ Proc. of the International Conference on Biometrics","author":"CHENEY J","year":"2015","unstructured":"CHENEY J , KLEIN B , JAIN A K , Unconstrained face detection: state of the art baseline and challenges[C]\/\/ Proc. of the International Conference on Biometrics , 2015 :229-236. CHENEY J, KLEIN B, JAIN A K,et al. Unconstrained face detection: state of the art baseline and challenges[C]\/\/ Proc. of the International Conference on Biometrics, 2015:229-236."},{"key":"e_1_3_2_1_6_1","volume-title":"Face detection without bells and whistles[C]\/\/ Proc. of the European Conference on Computer Vision","author":"MATHIAS M","year":"2014","unstructured":"MATHIAS M , BENENSON R , PEDERSOLI M , Face detection without bells and whistles[C]\/\/ Proc. of the European Conference on Computer Vision , 2014 :720-735. MATHIAS M,BENENSON R,PEDERSOLI M, Face detection without bells and whistles[C]\/\/ Proc. of the European Conference on Computer Vision, 2014:720-735."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"e_1_3_2_1_8_1","volume-title":"Systemsengineering and electronic technology","author":"YANG","year":"2019","unstructured":"YANG long, SU Juan, Ll Xiang. SAR ship detection based on deep convolution neural network [ J]. Systemsengineering and electronic technology , 2019 ,41 (9): 1990-1997.(in Chinese) YANG long,SU Juan, Ll Xiang.SAR ship detection based on deep convolution neural network [J]. Systemsengineering and electronic technology, 2019,41 (9): 1990-1997.(in Chinese)"},{"issue":"3","key":"e_1_3_2_1_9_1","first-page":"397","article-title":"SAR detection for small target ship based on deep convolutionalneural network[J].","volume":"27","author":"HU","year":"2019","unstructured":"HU Changhua, CHEN Chen, HE Chuan , SAR detection for small target ship based on deep convolutionalneural network[J]. Journal of Chinese Inertial Technology , 2019 , 27 ( 3 ): 397 - 406 .(in Chinese) HU Changhua, CHEN Chen, HE Chuan, SAR detection for small target ship based on deep convolutionalneural network[J].Journal of Chinese Inertial Technology, 2019,27(3):397-406.(in Chinese)","journal-title":"Journal of Chinese Inertial Technology"},{"key":"e_1_3_2_1_10_1","first-page":"2123","article-title":"SAR Ship Target Rapid Detection Method Combined with Scene Classifi-cation in the Inshore Region [J]","volume":"36","author":"FUX","year":"2020","unstructured":"FUX iaoya, WANG Zhaocheng . SAR Ship Target Rapid Detection Method Combined with Scene Classifi-cation in the Inshore Region [J] . Journal of Signal Processing , 2020 , 36 ( 12): 2123 - 2130 . (in Chinese) FUXiaoya, WANG Zhaocheng. SAR Ship Target Rapid Detection Method Combined with Scene Classifi-cation in the Inshore Region [J]. Journal of Signal Processing, 2020, 36( 12):2123-2130. (in Chinese)","journal-title":"Journal of Signal Processing"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"CHOLLET F. Xception: Deep learning with depthwise separable convolutions [C] \/\/ Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition( CVPR) . 2017: 1800-1807.  CHOLLET F. Xception: Deep learning with depthwise separable convolutions [C] \/\/ Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition( CVPR) . 2017: 1800-1807.","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_1_12_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren Deep Residual Learning for Image Recognition[J]. 2015:770-778.  Kaiming He Xiangyu Zhang Shaoqing Ren Deep Residual Learning for Image Recognition[J]. 2015:770-778."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2021","location":"Xiamen China"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489032","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3489032","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:00Z","timestamp":1750193340000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489032"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":13,"alternative-id":["10.1145\/3488933.3489032","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3489032","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}