Method, system and apparatus for pattern recognition

Abstract

A method for pattern recognition may be provided, comprising: receiving data; processing the data with a convolutional neural network in order to recognize a pattern in the data, wherein the convolutional neural network comprises at least: a first branch comprising a sequence of first convolutional blocks, a pooling layer being disposed between any two adjacent first convolutional blocks, each first convolutional blocks comprising at least one convolutional layer, and a second branch comprising a sequence of second convolutional blocks, each second convolutional blocks comprising at least one convolutional layer, and wherein processing the data with a convolutional neural network in order to recognize a pattern in the data comprises: a preceding second convolutional block receiving a first feature map formed by combining of a feature map outputted by a preceding first convolutional block and a feature map outputted by a subsequent first convolutional block, processing the first feature map, and outputting a second feature map, and a subsequent second convolutional block receiving a third feature map formed by combining the second feature map and a feature map outputted by a further subsequent first convolutional block, processing the third feature map, and outputting a fourth feature map. A corresponding apparatus and system for pattern recognition, as well as a computer readable medium, are also provided.