In this paper, we present a novel channel scaling scheme for convolutional neural networks (CNNs), which can improve the recognition accuracy for the ...
Experimental results showed that the proposed selective DCNN achieved significantly higher NetScores [15], which is a comprehensive metric that considers both ...
Abstract—In this paper, we present a novel channel scaling scheme for convolutional neural networks (CNNs), which can improve the recognition accuracy for ...
In this paper, we present a novel channel scaling scheme for convolutional neural networks (CNNs), which can improve the recognition accuracy for the ...
Low-complexity dynamic channel scaling of noise-resilient CNN for intelligent edge devices. Authors: 변영훈; 하민호; 김정훈; LEE, SUNG GU; LEE, YOUNGJOO. Date ...
-. dc.title, Low-complexity dynamic channel scaling of noise-resilient CNN for intelligent edge devices ... Technology All right reserved. Browse. Communities ...
In this paper, we present a novel channel scaling scheme for convolutional neural networks (CNNs), which can improve the recognition accuracy for the practical ...
Low-complexity dynamic channel scaling of noise-resilient CNN for intelligent edge devices. Y Byun, M Ha, J Kim, S Lee, Y Lee. 2019 Design, Automation & Test ...
Jun 18, 2024 · Selective Deep Convolutional Neural Network for Low ... Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices ...
Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices. 2019 Design, Automation & Test in Europe Conference & Exhibition ...