Embedded semantic division network apparatus optimized for mma that classifies pixels in vehicle images

Abstract

Provided is an embedded semantic division network including a communication module configured to receive an image captured by a camera, a memory configured to store a semantic division network (MMANet)-based program for extracting a context of the captured image, and a processor extracts the context of the captured image by selecting a convolutional neural network (CNN) processing module or a depth-wise separable convolution (DSC) processing module according to a size of a activation map in each layer of the semantic division network that includes an encoder unit and a decoder unit including at least one of the CNN processing module and the DSC processing module that are connected from an upper layer to a lower layer and reduce features of an input image.