DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Sangyeob | ko |
dc.contributor.author | Lee, Juhyoung | ko |
dc.contributor.author | Kang, Sanghoon | ko |
dc.contributor.author | Lee, Jinsu | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2019-11-28T05:21:24Z | - |
dc.date.available | 2019-11-28T05:21:24Z | - |
dc.date.created | 2019-11-27 | - |
dc.date.created | 2019-11-27 | - |
dc.date.created | 2019-11-27 | - |
dc.date.issued | 2019-05 | - |
dc.identifier.citation | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/268677 | - |
dc.description.abstract | A low-power face recognition processor with similar feature skipping (SFS) and the tile-based clustering algorithm is proposed for high energy efficiency in mobile devices. For higher energy efficiency face recognition (FR) processor, this paper proposes two key features: 1) Tile-based clustering enables to reduce computation overhead of clustering. 2) SFS binary convolution core is proposed to increase energy efficiency, resulting in 15.2 TOPS/W energy efficiency. Implemented with 65 nm CMOS technology, the 6 mm | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A 15.2 TOPS/W CNN accelerator with similar feature skipping for face recognition in mobile devices | - |
dc.type | Conference | - |
dc.identifier.wosid | 000483076402128 | - |
dc.identifier.scopusid | 2-s2.0-85066800751 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 | - |
dc.identifier.conferencecountry | JA | - |
dc.identifier.conferencelocation | Sapporo Convention Center | - |
dc.identifier.doi | 10.1109/ISCAS.2019.8702661 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.contributor.nonIdAuthor | Kim, Sangyeob | - |
dc.contributor.nonIdAuthor | Lee, Juhyoung | - |
dc.contributor.nonIdAuthor | Kang, Sanghoon | - |
dc.contributor.nonIdAuthor | Lee, Jinsu | - |
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