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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…