{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T09:05:02Z","timestamp":1743671102281,"version":"3.37.3"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"National Social Science Fund Unpopular Special Project of China and FUNDER","award":["20VJXT001"],"award-info":[{"award-number":["20VJXT001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3310472","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T17:26:39Z","timestamp":1693416399000},"page":"94057-94068","source":"Crossref","is-referenced-by-count":5,"title":["Bone Stick Image Classification Study Based on C3CA Attention Mechanism Enhanced Deep Cascade Network"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6034-8765","authenticated-orcid":false,"given":"Haoran","family":"Liang","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiqin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Archaeology, Chinese Academy of Social Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi Institute for the Preservation of Cultural Heritage, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"BAM: Bottleneck attention module","author":"park","year":"2018","journal-title":"arXiv 1807 06514"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref14","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2021.08.015"},{"key":"ref2","first-page":"67","article-title":"Research on classification algorithm of oracle bone inscriptions based on deep learning","volume":"27","author":"tu","year":"2021","journal-title":"Modern Computer"},{"key":"ref1","first-page":"109","article-title":"Restudy of the name and usage of the bone tallies unearthed from the han period Chang’an city-site","author":"gao","year":"2011","journal-title":"Huaxia Archaeol"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803391"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2019.8929465"},{"key":"ref18","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","article-title":"MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer","author":"mehta","year":"2021","journal-title":"arXiv 2110 02178"},{"key":"ref23","article-title":"Understanding AdamW through proximal methods and scale-freeness","author":"zhuang","year":"2022","journal-title":"arXiv 2202 00089"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"ref20","first-page":"58","article-title":"A probe into the archives of bone signs in the han dynasty","author":"qi","year":"2014","journal-title":"Lantai World"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00081"},{"key":"ref28","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","first-page":"10096","article-title":"EfficientNetv2: Smaller models and faster training","author":"tan","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00312"},{"key":"ref7","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08453-9"},{"key":"ref4","first-page":"145","article-title":"Intelligent chronological study of chinese ancient ceramics based on convolutional neural networks","volume":"43","author":"feng","year":"2022","journal-title":"J Ceramica"},{"key":"ref3","first-page":"111","article-title":"Depth classification model of Qin terracotta fragments based on data augmentation","volume":"59","author":"yu","year":"2022","journal-title":"Laser & Optoelectronics Progress"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref5","article-title":"Scene classification of optical high-resolution remote sensing images using vision transformer and graph convolutional network","volume":"50","author":"wang","year":"2021","journal-title":"Acta Photon Sinica"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10234418.pdf?arnumber=10234418","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T18:14:29Z","timestamp":1696270469000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10234418\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3310472","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}