关键词: 神经网络, 文本检测, 损失函数, 深度学习

Abstract:

A deep neural network based on fused loss function is proposed to solve the shortcomings of natural scene text detection based on traditional deep neural network, such as poor detection, inaccurate detection of text bounding boxes and so on. The Balanced loss is combined with the traditional deep neural network by using weighted method to increase the loss value of pixels at the border of the text boxes and those difficult to detect. Thereby, the optimization direction of the model is constrained, and the ability of the model to learn complex features has improved. The experimental results show that the proposed method effectively improves the detection accuracy of the network in the natural scene text detection.

Key words: neural network, text detection, loss function, deep learning