VISUAL RECOGNITION VIA LIGHT WEIGHT NEURAL NETWORK

摘要

Systems and methods for visual recognition via light weight neural network are disclosed. A method includes accessing an input matrix. The method includes processing the input matrix through a plurality of convolution layers from a neural network architecture, each convolution layer including a convolution layer kernel, to generate a processed matrix, the convolution layer kernel being a first square, a side dimension of the first square being an integer greater than or equal to two. The method includes processing, at the processing hardware, the processed matrix through at least one squeeze layer, the at least one squeeze layer including a squeeze layer kernel, to generate an output matrix, the squeeze layer kernel being a second square with a side dimension of one, the at least one squeeze layer replacing at least one convolution layer from the neural network architecture. The method includes providing a representation of the output matrix.