Learning multi-level and multi-scale deep representations for privacy image classification Han, Y, Huang, Y, Pan, Lei and Zheng, Y 2022, Learning multi-level and multi-scale deep representations for privacy image classification, Multimedia Tools and Applications, vol. 81, no. 2, pp. 2259-2274, doi: 10.1007/s11042-021-11667-5. Attached Files Name Description MIMEType Size Downloads Title Learning multi-level and multi-scale deep representations for privacy image classification Author(s) Han, Y Huang, Y Pan, Lei orcid.org/0000-0002-4691-8330 Zheng, Y Journal name Multimedia Tools and Applications Volume number 81 Issue number 2 Start page 2259 End page 2274 Total pages 16 Publisher SPRINGER Publication date 2022-01-01 ISSN 1380-7501 1573-7721 Keyword(s) Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Computer Science, Theory & Methods Engineering, Electrical & Electronic Computer Science Engineering Image privacy Multi-level features Multi-scale features Feature aggregation Language eng DOI 10.1007/s11042-021-11667-5 Field of Research 0801 Artificial Intelligence and Image Processing 0803 Computer Software 0805 Distributed Computing 0806 Information Systems HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30157863 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 25 Oct 2021, 09:58:02 EST Tue, 26 Oct 2021, 07:10:03 EST Tue, 26 Oct 2021, 07:16:54 EST Wed, 27 Oct 2021, 08:16:54 EST Sat, 13 Nov 2021, 01:31:40 EST Sat, 13 Nov 2021, 01:45:32 EST Fri, 14 Jan 2022, 05:01:49 EST Fri, 28 Jan 2022, 09:12:02 EST Fri, 28 Jan 2022, 13:27:16 EST Fri, 28 Jan 2022, 13:32:00 EST Fri, 28 Jan 2022, 13:37:34 EST Wed, 23 Mar 2022, 13:13:58 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 47 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 25 Oct 2021, 09:58:02 EST