To create a new device and method for efficiently and accurately processing a high definition and/or complex image.SOLUTION: Provided is a method using a computer for semantically segmenting an image using a convolution neural network system. With this method, a processor is constituted so as to: convolute an input image with a plurality of images, output a first output volume and pool it, generate a first activation map, determine the influence level of the first activation map upon semantic segmentation, up-pool the first activation map to form an output image having the same number of pixels as the input image, output the result of stochastic segmentation, and label the probability of a specific label being pasted to each pixel, with determination as to the influence level of the first activation map upon the semantic segmentation made using a gate layer located between a pooling layer and an up-pooling layer.SELECTED DRAWING: Figure 4
SKIP ARCHITECTURE NEUTRAL NETWORK DEVICE AND METHOD FOR IMPROVED SEMANTIC SEGMENTATION