{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T09:15:21Z","timestamp":1753521321634,"version":"3.37.3"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1007\/s00521-020-05630-y","type":"journal-article","created":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T01:02:22Z","timestamp":1609722142000},"page":"8845-8856","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Deliberation on object-aware video style transfer network with long\u2013short temporal and depth-consistent constraints"],"prefix":"10.1007","volume":"33","author":[{"given":"Yunxin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5979-7590","authenticated-orcid":false,"given":"Aiwen","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiancheng","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihua","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Gatys LA, Ecker AS, Bethge M (2015) A neural algorithm of artistic style. arXiv:1508.06576","key":"5630_CR1","DOI":"10.1167\/16.12.326"},{"doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: European conference on computer vision","key":"5630_CR2","DOI":"10.1007\/978-3-319-46475-6_43"},{"doi-asserted-by":"crossref","unstructured":"Liu X-C, Cheng M-M, Lai Y-K, Rosin PL (2017) Depth-aware neural style transfer. In: Non-photorealistic animation and rendering (NPAR)","key":"5630_CR3","DOI":"10.1145\/3092919.3092924"},{"doi-asserted-by":"crossref","unstructured":"Ruder M, Dosovitskiy A, Brox T (2016) Artistic style transfer for videos. In: German conference on pattern recognition","key":"5630_CR4","DOI":"10.1007\/978-3-319-45886-1_3"},{"doi-asserted-by":"crossref","unstructured":"Huang H, Wang H, Luo W, Ma L, Jiang W, Zhu X, Li Z, Liu W (2017) Real-time neural style transfer for videos. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR5","DOI":"10.1109\/CVPR.2017.745"},{"doi-asserted-by":"crossref","unstructured":"Jegou S, Drozdzal M, Vazquez D, Romero A, Bengio Y (2017) The one hundred layers tiramisu: fully convolutional densenets for semantic segmentation. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR6","DOI":"10.1109\/CVPRW.2017.156"},{"doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR7","DOI":"10.1109\/CVPR.2017.243"},{"doi-asserted-by":"crossref","unstructured":"Qin X, Zhang Z, Huang C, Gao C, Dehghan M, Jagersand M (2019) Basnet: boundary-aware salient object detection. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR8","DOI":"10.1109\/CVPR.2019.00766"},{"doi-asserted-by":"crossref","unstructured":"Liu N, Han J, Yang M-H (2018) Picanet: learning pixel-wise contextual attention for saliency detection. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR9","DOI":"10.1109\/CVPR.2018.00326"},{"key":"5630_CR10","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.neucom.2018.09.061","volume":"322","author":"J Yuzhu","year":"2018","unstructured":"Yuzhu J, Haijun Z, Jonathan WQM (2018) Salient object detection via multi-scale attention cnn. Neurocomputing 322:130\u2013140","journal-title":"Neurocomputing"},{"key":"5630_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3004263","author":"D Yanni","year":"2020","unstructured":"Yanni D, Tianyang L, Yuxiang Z, Bo D (2020) Spectral-spatial weighted kernel manifold embedded distribution alignment for remote sensing image classification. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2020.3004263","journal-title":"IEEE Trans Cybern"},{"key":"5630_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3007534","author":"J Yuzhu","year":"2020","unstructured":"Yuzhu J, Haijun Z, Zequn J, Lin M, Jonathan WQM (2020) Casnet: a cross-attention siamese network for video salient object detection. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2020.3007534","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"doi-asserted-by":"crossref","unstructured":"Chen D, Yuan L, Liao J, Yu N, Hua G (2017) Stylebank: an explicit representation for neural image style transfer. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR13","DOI":"10.1109\/CVPR.2017.296"},{"unstructured":"Dumoulin V, Shlens J, Kudlur M (2017) A learned representation for artistic style. In: International conference on learning representations","key":"5630_CR14"},{"doi-asserted-by":"crossref","unstructured":"Shen F, Yan S, Zeng G (2017) Meta networks for neural style transfer. In: IEEE conference on computer vision and pattern recognition","key":"5630_CR15","DOI":"10.1109\/CVPR.2018.00841"},{"unstructured":"Kozlovtsev K, Kitov V (2019) Depth-aware arbitrary style transfer using instance normalization. arXiv:1906.01123v2","key":"5630_CR16"},{"doi-asserted-by":"publisher","unstructured":"Huang X, Serge B (2017) Arbitrary style transfer in real-time with adaptive instance normalization. In: IEEE International Conference on Computer Vision, Venice. https:\/\/doi.org\/10.1109\/ICCV.2017.167","key":"5630_CR17","DOI":"10.1109\/ICCV.2017.167"},{"issue":"2","key":"5630_CR18","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1007\/s11063-019-10024-w","volume":"50","author":"L Zhan","year":"2019","unstructured":"Zhan L, Yuanqing W (2019) Stable and refined style transfer using zigzag learning algorithm. Neural Process Lett 50(2):2481\u20132492","journal-title":"Neural Process Lett"},{"doi-asserted-by":"crossref","unstructured":"Chen D, Liao J, Yuan L, Yu N, Hua G (2017) Coherent online video style transfer. In: IEEE international conference on computer vision","key":"5630_CR19","DOI":"10.1109\/ICCV.2017.126"},{"doi-asserted-by":"crossref","unstructured":"Gao C, Gu D, Zhang F, Yu Y (2018) Reconet: real-time coherent video style transfer network. In: Asia conference on computer vision","key":"5630_CR20","DOI":"10.1007\/978-3-030-20876-9_40"},{"doi-asserted-by":"crossref","unstructured":"Li X, Liu S, Kautz J, Yang M-H (2019) Learning linear transformations for fast image and video style transfer. In: IEEE\/CVF conference on computer vision and pattern recognition","key":"5630_CR21","DOI":"10.1109\/CVPR.2019.00393"},{"issue":"1","key":"5630_CR22","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3758\/BF03194781","volume":"65","author":"JT Todd","year":"2003","unstructured":"Todd JT, Farley NJ (2003) The visual perception of 3-d shape from multiple cues: are observers capable of perceiving metric structure? Percept Psychophys 65(1):31\u201347","journal-title":"Percept Psychophys"},{"doi-asserted-by":"crossref","unstructured":"Zoran D, Isola P, Krishnan D, Freeman WT (2015) Learning ordinal relationships for mid-level vision. In: Proceedings of the IEEE international conference on computer vision","key":"5630_CR23","DOI":"10.1109\/ICCV.2015.52"},{"unstructured":"Chen W, Fu Z, Yang D, Deng J (2016) Single-image depth perception in the wild. In: Advances in neural information processing systems","key":"5630_CR24"},{"issue":"11","key":"5630_CR25","first-page":"4808","volume":"50","author":"C Hao","year":"2019","unstructured":"Hao C, Youfu L, Dan S (2020) Discriminative cross-modal transfer learning and densely cross-level feedback fusion for rgb-d salient object detection. IEEE Trans Cybern 50(11):4808\u20134820","journal-title":"IEEE Trans Cybern"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05630-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05630-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05630-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T16:49:00Z","timestamp":1724172540000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05630-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,4]]},"references-count":25,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2021,7]]}},"alternative-id":["5630"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05630-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2021,1,4]]},"assertion":[{"value":"8 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}