Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks. In this paper, we propose to optimize image recognition models and data augmentation …
We propose a new method for handwritten text generation using generative adversarial networks with multi-class conditional batch normalization, which enables us to use character sequences with variable lengths as conditions for the generator. …
Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks. In this paper, we propose to optimize image recognition models and data augmentation …
Scene text erasing is a task of removing text from natural scene images, which has been gaining attention in recent years. The main motivation is to conceal private information such as license plate numbers, and house name plates that can appear in …
The increasing interest in scene text reading in multilingual environments raises the need to recognize and distinguish between different writing systems. In this paper, we propose a novel method for script identification using convolutional features …