A Real-Time Object Detection Processor With xnor-Based Variable-Precision Computing Unit
Author:
Affiliation:
1. Graduate School of Convergence Science and Technology, Research Institute for Convergence Science, Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea
2. Hanwha Systems, Seongnam, South Korea
Funder
a grant-in-aid of Hanwha Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Link
http://xplorestaging.ieee.org/ielx7/92/10129243/10077803.pdf?arnumber=10077803
Reference57 articles.
1. Quantized Convolutional Neural Networks for Mobile Devices
2. Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding;han;arXiv 1510 00149 [cs],2015
3. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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