Deep patch-based human segmentation Zhang, Dongbo, Fang, Zheng, Lu, Xuequan, Qin, Hong, Robles-Kelly, Antonio, Zhang, Chao and He, Ying 2020, Deep patch-based human segmentation, in ICONIP 2020 : Proceedings of the 2020 27th International Conference on Neural Information Processing, Springer, Cham, Switzerland, pp. 229-240, doi: 10.1007/978-3-030-63830-6_20. Attached Files Name Description MIMEType Size Downloads Title Deep patch-based human segmentation Author(s) Zhang, Dongbo Fang, Zheng Lu, Xuequan orcid.org/0000-0003-0959-408X Qin, Hong Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971 Zhang, Chao He, Ying Conference name Neural Information Processing. Conference (27th : 2020 : Online from Bangkok, Thailand) Conference location Online from Bangkok, Thailand Conference dates 2020/11/18 - 2020/11/22 Title of proceedings ICONIP 2020 : Proceedings of the 2020 27th International Conference on Neural Information Processing Editor(s) Yang, Haiqin Pasupa, Kitsuchart Leung, Andrew Chi-Seng Kwok, James T Chan, Jonathan H King, Irwin Publication date 2020 Series Neural Information Processing Conference Start page 229 End page 240 Total pages 12 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Human segmentation Deep learning Parameterization Shape descriptors Notes This conference was originally scheduled to be held in Bangkok, Thailand, however due to the 2020 COVID Pandemic, the event was held online. ISBN 9783030638290 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-63830-6_20 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30145970 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 29 Nov 2020, 15:18:47 EST Mon, 30 Nov 2020, 04:01:12 EST Mon, 30 Nov 2020, 06:59:47 EST Tue, 01 Dec 2020, 09:21:15 EST Wed, 02 Dec 2020, 05:04:55 EST Wed, 02 Dec 2020, 09:57:48 EST Wed, 02 Dec 2020, 10:00:08 EST Wed, 02 Dec 2020, 10:02:07 EST Wed, 02 Dec 2020, 14:59:15 EST Sat, 19 Dec 2020, 01:30:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 52 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 01 Dec 2020, 09:21:15 EST

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