To provide an object recognition method, a device, and a network.SOLUTION: Instead of a part of a convolutional layer in a conventional YOLO network, a depth separable convolutional layer is used to thereby reduce the calculation amount. Instead of a residual structure in the conventional YOLO network, a dense connection structure is used, thereby the convergence speed is accelerated and the network complexity is reduced while maintaining the original object recognition accuracy.SELECTED DRAWING: Figure 6
OBJECT RECOGNITION METHOD, DEVICE, AND NETWORK