Abstract
This paper presents a VLSI Convolutional Neural Network with special features to implement the Vanishing Point algorithm. The architecture is based on a multi-scale array, with one column processor that implements a neural network with local connectivity, a row processor of SIMD elements that can implement generic convolution and a voting mechanism, which is used by the Vanishing Point algorithm. In addition, a 32-bit 7 pipeline-stage has been designed to sequence all the operations. Simulations of the architecture described in a Hardware description language are shown.
Originalsprache | Englisch |
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Titel | 2015 Argentine School of Micro-Nanoelectronics, Technology and Applications (EAMTA) |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 53-57 |
Seitenumfang | 5 |
ISBN (Print) | 978-1-4799-8017-8 |
DOIs | |
Publikationsstatus | Veröffentlicht - 31 Juli 2015 |
Extern publiziert | Ja |
Veranstaltung | 2015 Argentine School of Micro-Nanoelectronics, Technology and Applications (EAMTA) - Villa Maria, Argentina Dauer: 30 Juli 2015 → 31 Juli 2015 |
Konferenz
Konferenz | 2015 Argentine School of Micro-Nanoelectronics, Technology and Applications (EAMTA) |
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Zeitraum | 30/07/15 → 31/07/15 |