Apparatus And Method for Detecting An Object Through Analyzing Activation Functions Of Deep Neural Network

摘要

According to an embodiment of the present invention, a method of classifying and detecting a specific object in an image may include: an original image through a convolutional neural network including a first convolutional layer and a second convolutional layer using an output of the first convolutional layer; Classifying a type of a particular object within; If the specific entity exists, the upsampling image is upsampled by upsampling a representative image of the feature map of the second convolutional layer based on the size of the feature map of the first convolutional layer. Generating; Generating a first feature image by performing an element-wise product with the upsampling image on the representative images of the plurality of feature maps of the first convolutional layer; And generating a detection image based on the first feature image and detecting a shape and a position of the specific object from the detection image.