{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T10:23:03Z","timestamp":1774952583942,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61672321"],"award-info":[{"award-number":["61672321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61771289"],"award-info":[{"award-number":["61771289"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61832012"],"award-info":[{"award-number":["61832012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51977113"],"award-info":[{"award-number":["51977113"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["51507084"],"award-info":[{"award-number":["51507084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Major Basic Research of Natural Science Foundation of Shandong Province","award":["ZR2019ZD10"],"award-info":[{"award-number":["ZR2019ZD10"]}]},{"name":"Shandong Province Key Research and Development Plan","award":["2019GGX101050"],"award-info":[{"award-number":["2019GGX101050"]}]},{"name":"the Project of Department of Education of Guangdong Province","award":["2017KQNCX209"],"award-info":[{"award-number":["2017KQNCX209"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s00521-020-05148-3","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T15:03:51Z","timestamp":1594393431000},"page":"14613-14622","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["A self-attention-based destruction and construction learning fine-grained image classification method for retail product recognition"],"prefix":"10.1007","volume":"32","author":[{"given":"Wenyong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongcheng","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6147-0637","authenticated-orcid":false,"given":"Guangshun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuntao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"5148_CR1","doi-asserted-by":"crossref","unstructured":"Krause J, Stark M, Deng J, Fei-Fei L (2013) 3d object representations for fine-grained categorization. In: Proceedings of the IEEE international conference on computer vision workshops, pp 554\u2013561","DOI":"10.1109\/ICCVW.2013.77"},{"key":"5148_CR2","doi-asserted-by":"crossref","unstructured":"Yang Z, Luo T, Wang D, Hu Z, Gao J, Wang L (2018) Learning to navigate for fine-grained classification. In: ECCV 2018, arXiv:1809.00287","DOI":"10.1007\/978-3-030-01264-9_26"},{"key":"5148_CR3","doi-asserted-by":"crossref","unstructured":"Zheng H, Fu J , Zha Z, Luo J (2019) Looking for the devil in the details: learning trilinear attention sampling network for fine-grained image recognition. arXiv:1903.06150","DOI":"10.1109\/CVPR.2019.00515"},{"key":"5148_CR4","doi-asserted-by":"crossref","unstructured":"Chen Y, Bai Y, Zhang W, Mei T (2019) Destruction and construction learning for fine-grained image recognition. In: The IEEE conference on computer vision and pattern recognition (CVPR), pp 5157\u20135166","DOI":"10.1109\/CVPR.2019.00530"},{"key":"5148_CR5","unstructured":"Miyato T (2018) Spectral normalization for generative adversarial networks, arXiv:1802.05957v1"},{"key":"5148_CR6","doi-asserted-by":"crossref","unstructured":"Zhu JY, Parck T, Isola P, Efros A (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: CVPR","DOI":"10.1109\/ICCV.2017.244"},{"key":"5148_CR7","unstructured":"Heusel M, Ramsauer H, Unterthiner T, Nesslerm B (2018) GANs trained by a two time-scale update rule converge to a local nash equilibrium. arXiv: 1706.08500v6"},{"key":"5148_CR8","unstructured":"Catherine w, Steve B, Peter W, Pietro P, Serge B (2011) The caltech-ucsd birds-200-2011 dataset. (CNS-TR-2011-001)"},{"key":"5148_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.04.041","author":"H Zheng","year":"2020","unstructured":"Zheng H, Wang R, Ji W, Zong M, Wong WK, Lai Z, Lv H (2020) Discriminative deep multi-task learning for facial expression recognition. Inf Sci. https:\/\/doi.org\/10.1016\/j.ins.2020.04.041","journal-title":"Inf Sci"},{"key":"5148_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04893-9","author":"F Zou","year":"2020","unstructured":"Zou F, Xiao W, Ji W, He K, Yang Z, Song J, Zhou H, Li K (2020) Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-04893-9","journal-title":"Neural Comput Appl"},{"key":"5148_CR11","unstructured":"M.Mirza, S.Osindero. Conditional Generative Adversarial Nets. arXiv:1411.1784v1, 2014"},{"key":"5148_CR12","unstructured":"Maji S, Rahtu E, Kannala J, Blaschko MB, Vedaldi A (2013) Fine-grained visual classification of aircraft. CoRR, abs\/1306.5151"},{"key":"5148_CR13","unstructured":"Liu X, Xia T, Wang J, Lin Y (2016) Fully convolutional attention localization networks: efficient attention localization for fine-grained recognition. CoRR, abs\/1603.06765"},{"key":"5148_CR14","doi-asserted-by":"crossref","unstructured":"Zheng H, Fu J, Mei T, Luo J (2017) Learning multi-attention convolutional neural network for fine-grained image recognition. 10.1109\/ICCV.2017.557","DOI":"10.1109\/ICCV.2017.557"},{"key":"5148_CR15","doi-asserted-by":"crossref","unstructured":"Cui Y, Song Y, Sun C, Howard A, Belongie S (2018) Large scale fine-grained categorization and domain-specific transfer learning. In: CVPR, pp 4109\u2013 4118, 2018. 2","DOI":"10.1109\/CVPR.2018.00432"},{"issue":"12","key":"5148_CR16","doi-asserted-by":"publisher","first-page":"2372","DOI":"10.1109\/TMM.2016.2602060","volume":"18","author":"C Huang","year":"2016","unstructured":"Huang C, He Z, Cao G, Cao W (2016) Task-driven progressive part localization for fine-grained object recognition. IEEE Trans Multimed 18(12):2372\u20132383","journal-title":"IEEE Trans Multimed"},{"key":"5148_CR17","doi-asserted-by":"crossref","unstructured":"Fu J, Zheng H, Mei T (2017) Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition. In: CVPR, pp 4438\u20134446","DOI":"10.1109\/CVPR.2017.476"},{"key":"5148_CR18","doi-asserted-by":"crossref","unstructured":"Rodr\u00b4\u0131guez P, Gonfaus JM, Cucurull G, XavierRoca F, Gonzalez J (2018) Attend and rectify: a gated attention mechanism for fine-grained recovery. In: Proceedings of the European conference on computer vision (ECCV), pp 349\u2013364","DOI":"10.1007\/978-3-030-01237-3_22"},{"key":"5148_CR19","unstructured":"Wei XS, Cui Q, Yang L, Wang P, Liu L (2019) RPC: a large-scale retail product checkout dataset. arXiv:1901.07249"},{"key":"5148_CR20","doi-asserted-by":"crossref","unstructured":"Mehdi N, Paolo F (2016) Unsupervised learning of visual representations by solving jigsaw puzzles. In: Computer vision\u2013ECCV 2016, pp 69\u201384, Cham, 2016. Springer International Publishing","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"5148_CR21","doi-asserted-by":"crossref","unstructured":"Ming S, Yuchen Y, Feng Z, Errui D (2018) Multi-attention multi-class constraint for fine-grained image recognition. pp 834\u2013850","DOI":"10.1007\/978-3-030-01270-0_49"},{"issue":"3","key":"5148_CR22","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1109\/TIP.2017.2774041","volume":"27","author":"Y Peng","year":"2018","unstructured":"Peng Y, He X, Zhao J (2018) Object-part attention model for fine-grained image classification. IEEE Trans Image Process 27(3):1487\u20131500","journal-title":"IEEE Trans Image Process"},{"key":"5148_CR23","doi-asserted-by":"crossref","unstructured":"Cai S, Zuo W, Zhang L (2017) Higher-order integration of hierarchical convolutional activations for fine-grained visual categorization. In: 2017 IEEE international conference on computer vision, pp 511\u2013520","DOI":"10.1109\/ICCV.2017.63"},{"key":"5148_CR24","doi-asserted-by":"crossref","unstructured":"Doersch C, Gupta A, Efros AA (2015) Unsupervised visual representation learning by context prediction. In: 2015 IEEE international conference on computer vision, pp 1422\u20131430","DOI":"10.1109\/ICCV.2015.167"},{"key":"5148_CR25","unstructured":"Lample G, Conneau A, Denoyer L, Ranzato M (2018) Unsupervised machine translation using monolingual corpora only"},{"key":"5148_CR26","doi-asserted-by":"crossref","unstructured":"Lin T, RoyChowdhury A, Maji S (2015) Bilinear cnn models for fine-grained visual recognition. In: 2015 IEEE international conference on computer vision, pp 1449\u20131457","DOI":"10.1109\/ICCV.2015.170"},{"key":"5148_CR27","doi-asserted-by":"crossref","unstructured":"Berg T, Liu J, Lee SW, Alexander ML, Jacobs DW, Belhumeur PN (2014) Birdsnap: large-scale fine-grained visual categorization of birds. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp 2019\u20132026","DOI":"10.1109\/CVPR.2014.259"},{"key":"5148_CR28","doi-asserted-by":"crossref","unstructured":"Branson S, Horn GV, Belongie SJ, Perona P (2014) Bird species categorization using pose normalized deep convolutional nets. In: BMVC, 2014. 1","DOI":"10.5244\/C.28.87"},{"key":"5148_CR29","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair D, Courville AC, Bengio Y (2014) Generative adversarial nets. In: NIPS"},{"key":"5148_CR30","unstructured":"Donahue J, Kr\u00a8ahenb\u00a8uhl P, Darrell T (2017) Adversarial feature learning. In: ICLR"},{"key":"5148_CR31","unstructured":"Lin H, Goodfellow I, Metaxas D, Odena A (2018) Self-attention generative adversarial networks. arXiv:1805.08318"},{"key":"5148_CR32","unstructured":"Yoshida Y (2017) Spectral norm regularization for improving the generalizability of deep learning, National Institute of Informatics. arXiv: 1705.10941v1, 2017"},{"key":"5148_CR33","unstructured":"Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. arXiv:1409.0473,"},{"key":"5148_CR34","unstructured":"Che T, Li Y, Jacob AP, Bengio Y, Li W (2017) Mode regularized generative adversarial networks. In: ICLR"},{"key":"5148_CR35","unstructured":"Dziugaite GK, Ghahramani Z, Roy DM (2016) A study of the effect of jpg compression on adversarial images. arXiv preprint arXiv:1608.00853"},{"issue":"4","key":"5148_CR36","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","volume":"40","author":"LC Chen","year":"2018","unstructured":"Chen LC, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2018) Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution and fully connected crfs. TPAMI 40(4):834\u2013848","journal-title":"TPAMI"},{"key":"5148_CR37","doi-asserted-by":"crossref","unstructured":"Cheng J, Dong L, Lapata M (2016) Long short-term memory-networks for machine reading. In: EMNLP","DOI":"10.18653\/v1\/D16-1053"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05148-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05148-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05148-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,10]],"date-time":"2021-07-10T00:17:32Z","timestamp":1625876252000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05148-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,10]]},"references-count":37,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["5148"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05148-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,10]]},"assertion":[{"value":"11 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}