Accelerating real-time embedded scene labeling with convolutional networks

Today there is a clear trend towards deploying advanced computer vision (CV) systems in a growing number of application scenarios with strong real-time and power constraints. Brain-inspired algorithms capable of achieving record-breaking results combined with embedded vision systems are the best can...

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Veröffentlicht in:	Proceedings - ACM IEEE Design Automation Conference S. 1 - 6
Hauptverfasser:	Cavigelli, Lukas, Magno, Michele, Benini, Luca
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Accelerator Convolution Convolutional Networks Feature extraction Graphics processing units Labeling Performance evaluation Real-time systems Scene Labeling Throughput
ISSN:	0738-100X
Online-Zugang:	Volltext
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