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20182022
most citedDeep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going

77 citations · 113 across the 10 of their papers we have counts for

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2 papers · 1 filter

eess.IV2020

Improving Performance Estimation for FPGA-based Accelerators for Convolutional Neural Networks

Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu +2

Field-programmable gate array (FPGA) based accelerators are being widely used for acceleration of convolutional neural networks (CNNs) due to their potential in improving the perfo…

eess.IV2019

Optimizing CNN-based Hyperspectral Image Classification on FPGAs

Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang +1

Hyperspectral image (HSI) classification has been widely adopted in applications involving remote sensing imagery analysis which require high classification accuracy and real-time…