Method and apparatus of deep learning based object detection with additional part probability maps

摘要

The present invention relates to a technology related to image recognition using machine learning. A method of detecting an object based on deep learning including a part probability map comprises the following steps of: receiving an image including an object to be detected by an apparatus of detecting an object; training a deep learning network formed by repeating at least two of multi-layers of convolution, full-connection and pooling, and particularly, receiving a part probability map of an object to be detected to train the same in order to emphasize a specific position for each of layers; and outputting an object detected from a training result for an image by using regression loss and classification loss.