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Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
(IEEE, 2023)
Achieving a lower memory footprint and reduced
computational density in neural network models requires the use
of low-precision models. However, existing techniques typically
rely on floating-point arithmetic to preserve ...
Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
(IEEE, 2023)
As real-time video processing applications grow in
complexity, they demand higher performance. Achieving such
a performance must involve a delicate balance between design
constraints and optimization of performance ...