{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T02:07:17Z","timestamp":1778983637482,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T00:00:00Z","timestamp":1702512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1406500"],"award-info":[{"award-number":["2019YFB1406500"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["?21?20515, 61972459, 61971418, U2003109,62171321, 62071157, 62162044, 32271983"],"award-info":[{"award-number":["?21?20515, 61972459, 61971418, U2003109,62171321, 62071157, 62162044, 32271983"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,14]]},"DOI":"10.1145\/3638884.3638899","type":"proceedings-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T12:11:26Z","timestamp":1713874286000},"page":"100-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Teaching Neural Networks to Imitate Human Habits for Recognizing Anime Characters"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7569-3273","authenticated-orcid":false,"given":"Zongqiang","family":"Wang","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China and \rSchool of Artificial Intelligence, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4823-5220","authenticated-orcid":false,"given":"Xin","family":"Mao","sequence":"additional","affiliation":[{"name":"Beijing Zitiao Network Technology Co., Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0827-4797","authenticated-orcid":false,"given":"Zhaohui","family":"Zhang","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8212-1361","authenticated-orcid":false,"given":"Jiguang","family":"Zhang","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4037-9900","authenticated-orcid":false,"given":"Shibiao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Artifical Intelligence, Beijing Unversity of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0092-6474","authenticated-orcid":false,"given":"Xiaopeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3177952"},{"key":"e_1_3_2_1_2_1","first-page":"1","volume-title":"In\u00a02021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII)","author":"Narayan","year":"2021","unstructured":"Narayan, Adith, and Raja Muthalagu. \"Image Character Recognition using Convolutional Neural Networks.\" In\u00a02021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII), pp. 1-5. IEEE, 2021."},{"key":"e_1_3_2_1_3_1","unstructured":"Geirhos Robert Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann and Wieland Brendel. \"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.\"\u00a0arXiv preprint arXiv:1811.12231\u00a0(2018)."},{"key":"e_1_3_2_1_4_1","first-page":"213","volume-title":"Cham","author":"Carion","year":"2020","unstructured":"Carion, Nicolas, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. \"End-to-end object detection with transformers.\" In\u00a0European conference on computer vision, pp. 213-229. Cham: Springer International Publishing, 2020."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/003754976400200514"},{"key":"e_1_3_2_1_6_1","volume-title":"How do humans sketch objects?[J]. ACM Transactions on graphics (TOG)","author":"Eitz M","year":"2012","unstructured":"Eitz M, Hays J, Alexa M. How do humans sketch objects?[J]. ACM Transactions on graphics (TOG), 2012, 31(4): 1-10."},{"key":"e_1_3_2_1_7_1","volume-title":"A neural representation of sketch drawings[J]. arXiv preprint arXiv:1704.03477","author":"Ha D","year":"2017","unstructured":"Ha D, Eck D. A neural representation of sketch drawings[J]. arXiv preprint arXiv:1704.03477, 2017."},{"key":"e_1_3_2_1_8_1","first-page":"886","article-title":"Histograms of oriented gradients for human detection[C]\/\/2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05)","volume":"1","author":"Dalal N","year":"2005","unstructured":"Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]\/\/2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05). Ieee, 2005, 1: 886-893.","journal-title":"Ieee"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_10_1","volume-title":"Sketch-a-net that beats humans[J]. arXiv preprint arXiv:1501.07873","author":"Yu Q","year":"2015","unstructured":"Yu Q, Yang Y, Song Y Z, Sketch-a-net that beats humans[J]. arXiv preprint arXiv:1501.07873, 2015."},{"key":"e_1_3_2_1_11_1","volume-title":"Sketch recognition based on attention mechanism and improved residual network[C]\/\/2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","author":"Fang Q S","year":"2022","unstructured":"Fang Q S, Li Q Y, Su L L, Sketch recognition based on attention mechanism and improved residual network[C]\/\/2022 7th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2022: 139-144."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.11.2.103-108"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.12.1.60-65"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.14.2.224-232"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.527"},{"key":"e_1_3_2_1_16_1","unstructured":"Jing Huo Wenbin Li Yinghuan Shi Yang Gao and Hujun Yin. 2017. WebCarica-ture: a benchmark for caricature face recognition. arXiv preprint arXiv:1703.03230(2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"European Conference on Computer Vision. Springer, 35\u201347","author":"Ashutosh Mishra","year":"2016","unstructured":"Ashutosh Mishra, Shyam Nandan Rai, Anand Mishra, and CV Jawahar. 2016. IIIT-CFW: a benchmark database of cartoon faces in the wild. In European Conference on Computer Vision. Springer, 35\u201347."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3011549.3011551"},{"key":"e_1_3_2_1_19_1","volume-title":"Cartoon face recognition: A benchmark dataset[C]\/\/Proceedings of the 28th ACM international conference on multimedia. 2020: 2264-2272","author":"Zheng Y","unstructured":"Zheng Y, Zhao Y, Ren M, Cartoon face recognition: A benchmark dataset[C]\/\/Proceedings of the 28th ACM international conference on multimedia. 2020: 2264-2272."},{"key":"e_1_3_2_1_20_1","volume-title":"Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition[J]. arXiv preprint arXiv:2101.08674","author":"Rios E A","year":"2021","unstructured":"Rios E A, Cheng W H, Lai B C. DAF: re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition[J]. arXiv preprint arXiv:2101.08674, 2021."},{"key":"e_1_3_2_1_21_1","first-page":"67","article-title":"Sobel edge detection[C]\/\/2010 3rd International conference on computer science and information technology","volume":"5","author":"Gao W","year":"2010","unstructured":"Gao W, Zhang X, Yang L, An improved Sobel edge detection[C]\/\/2010 3rd International conference on computer science and information technology. IEEE, 2010, 5: 67-71.","journal-title":"IEEE"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1086\/323894"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.173"},{"key":"e_1_3_2_1_24_1","volume-title":"Accuracy of Laplacian edge detectors[J]. Computer Vision, Graphics, and Image Processing","author":"Berzins V.","year":"1984","unstructured":"Berzins V. Accuracy of Laplacian edge detectors[J]. Computer Vision, Graphics, and Image Processing, 1984, 27(2): 195-210."},{"key":"e_1_3_2_1_25_1","volume-title":"On the Canny edge detector[J]. Pattern recognition","author":"Ding L","year":"2001","unstructured":"Ding L, Goshtasby A. On the Canny edge detector[J]. Pattern recognition, 2001, 34(3): 721-725."},{"key":"e_1_3_2_1_26_1","volume-title":"Big Data & Smart City (ICITBS)","author":"Zhang H","year":"2018","unstructured":"Zhang H, Han J, Guan Y, A SIFT algorithm based on DOG operator[C]\/\/2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2018: 609-612."},{"key":"e_1_3_2_1_27_1","volume-title":"X-DOG: An Intelligent X-ray-based Dangerous Goods Detection and Automatic Alarm System[C]\/\/2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications","author":"Shi Y","year":"2020","unstructured":"Shi Y, Xu Y, Wei L, X-DOG: An Intelligent X-ray-based Dangerous Goods Detection and Automatic Alarm System[C]\/\/2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE, 2020: 576-582."},{"key":"e_1_3_2_1_28_1","volume-title":"Pyramid methods in image processing[J]. RCA engineer","author":"Adelson E H","year":"1984","unstructured":"Adelson E H, Anderson C H, Bergen J R, Pyramid methods in image processing[J]. RCA engineer, 1984, 29(6): 33-41."}],"event":{"name":"ICCIP 2023: 2023 the 9th International Conference on Communication and Information Processing","location":"Lingshui China","acronym":"ICCIP 2023"},"container-title":["Proceedings of the 2023 9th International Conference on Communication and Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638884.3638899","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638884.3638899","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T01:45:44Z","timestamp":1778982344000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638884.3638899"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,14]]},"references-count":28,"alternative-id":["10.1145\/3638884.3638899","10.1145\/3638884"],"URL":"https:\/\/doi.org\/10.1145\/3638884.3638899","relation":{},"subject":[],"published":{"date-parts":[[2023,12,14]]},"assertion":[{"value":"2024-04-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}