{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:47:56Z","timestamp":1742914076675,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030607982"},{"type":"electronic","value":"9783030607999"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60799-9_11","type":"book-chapter","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T18:04:35Z","timestamp":1602612275000},"page":"128-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7531-4341","authenticated-orcid":false,"given":"Jian-Xun","family":"Mi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4013-5482","authenticated-orcid":false,"given":"Jie","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"key":"11_CR1","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS (2012)"},{"key":"11_CR2","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: CVPR, vol. 07, pp. 1\u20139, 12 June 2015","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: ICLR, CVPR, vol. 2016, pp. 770\u2013778, December 2016","DOI":"10.1109\/CVPR.2016.90"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: CVPR, vol. 2017, pp. 2261\u20132269, January 2017","DOI":"10.1109\/CVPR.2017.243"},{"key":"11_CR6","unstructured":"Li, H., Samet, H., Kadav, A., Durdanovic, I., Graf, H.P.: Pruning filters for efficient convnets. In: ICLR. ICLR (2017)"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Z., Li, J., Shen, Z., Huang, G., Yan, S., Zhang, C.-S.: Learning efficient convolutional networks through network slimming. In ICCV, pp. 2755\u20132763. IEEE Computer Society (2017)","DOI":"10.1109\/ICCV.2017.298"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"He, Y., Liu, P., Wang, Z., Hu, Z., Yang, Y.: Filter pruning via geometric median for deep convolutional neural networks acceleration. In: CVPR, pp. 4340\u20134349. Computer Vision Foundation. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00447"},{"key":"11_CR9","unstructured":"Courbariaux, M., Bengio, Y., David, J.P.: Binaryconnect: training deep neural networks with binary weights during propagations. In: NIPS, vol. 2015, pp. 3123\u20133131. Neural Information Processing Systems Foundation (2015)"},{"key":"11_CR10","unstructured":"Chen, S., Zhao, Q.: Shallowing deep networks: layer-wise pruning based on feature representations. IEEE Trans. Pattern Anal. Mach. Intell. 41(12), 3048\u20133056 (2018)"},{"key":"11_CR11","unstructured":"Howard, A.G., et al.: MobileNets: efficient convolutional neural networks for mobile vision applications (2017)"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhou, X.Y., Lin, M.X., Sun, R.: ShuffleNet: an extremely efficient convolutional neural network for mobile devices. In: CVPR, pp. 6848\u20136856. IEEE, New York (2018)","DOI":"10.1109\/CVPR.2018.00716"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Tan, M., et al.: MnasNet: platform-aware neural architecture search for mobile. In: CVPR, pp. 2820\u20132828. Computer Vision Foundation (2018)","DOI":"10.1109\/CVPR.2019.00293"},{"key":"11_CR14","unstructured":"Cai, H., Zhu, L., Han, S.: Proxylessnas: direct neural architecture search on target task and hardware. In: ICLR (2019)"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: MobileNetV2: inverted residuals and linear bottlenecks. In: CVPR, pp. 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Howard, A., et al.: Searching for MobileNetV3. CoRR, abs\/1905.0 (2019)","DOI":"10.1109\/ICCV.2019.00140"},{"key":"11_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-030-01264-9_8","volume-title":"Computer Vision \u2013 ECCV 2018","author":"N Ma","year":"2018","unstructured":"Ma, N., Zhang, X., Zheng, H.-T., Sun, J.: ShuffleNet V2: practical guidelines for efficient CNN architecture design. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision \u2013 ECCV 2018. LNCS, vol. 11218, pp. 122\u2013138. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01264-9_8"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, T., Qi,G.J., Xiao, B., Wang, J.: Interleaved group convolutions. In: CVPR, vol. 2017, pp. 4383\u20134392. Institute of Electrical and Electronics Engineers Inc., December 2017","DOI":"10.1109\/ICCV.2017.469"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Xie, G., Wang, J., Zhang, T., Lai, J., Hong, R., Qi, G.J.: Interleaved structured sparse convolutional neural networks. In: CVPR, pp. 8847\u20138856. IEEE Computer Society, December 2018","DOI":"10.1109\/CVPR.2018.00922"},{"key":"11_CR20","unstructured":"Sun, K., Li, M., Liu, D., Wang, J.: IGCv3: interleaved low-rank group convolutions for efficient deep neural networks. In BMVC. BMVA Press (2019)"},{"key":"11_CR21","unstructured":"Liu, H., Simonyan, K., Yang, Y.: DARTS: differentiable architecture search. In: ICLR (2019)"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Doll\u00e1r, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: CVPR, vol. 2017, pp. 5987\u20135995, January 2017","DOI":"10.1109\/CVPR.2017.634"},{"key":"11_CR23","unstructured":"Tan, M., Le, Q.V.: EfficientNet: rethinking model scaling for convolutional neural networks. In: Chaudhuri, K., Salakhutdinov, R. (eds.) ICML, Volume 97 of Proceedings of Machine Learning Research, PMLR, pp. 6105\u20136114 (2019)"},{"key":"11_CR24","unstructured":"Zoph, B., Le, Q.V.: Neural architecture search with reinforcement learning. In: ICLR (2017)"},{"key":"11_CR25","unstructured":"Liu, H., Simonyan, K., Yang, Y.: DARTS: differentiable architecture search. In: ICLR. OpenReview.net (2019)"},{"key":"11_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1007\/978-3-319-46493-0_38","volume-title":"Computer Vision \u2013 ECCV 2016","author":"K He","year":"2016","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity mappings in deep residual networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 630\u2013645. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_38"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60799-9_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T04:10:54Z","timestamp":1669176654000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60799-9_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030607982","9783030607999"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60799-9_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2020\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}