Paper-Conference

MADAO: データ拡張最適化のためのメタ的アプローチ (English title: Meta Approach to Data Augmentation Optimization)

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, …

ryuichiro-hataya

Faster AutoAugment: Learning Augmentation Strategies using Backpropagation

Data augmentation methods are indispensable heuristics to boost the performance of deep neural networks, especially in image recognition tasks. Recently, several studies have shown …

ryuichiro-hataya

Erasing Scene Text With Weak Supervision

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 …

avatar
Jan Zdenek

Erasing Scene Text Using a General Inpainting Network

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 …

avatar
Jan Zdenek

Bag of Local Convolutional Triplets for Script Identification in Scene Text

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 …

avatar
Jan Zdenek

Script Identification Using Bag-of-Words with Entropy-weighted Patches

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 …

avatar
Jan Zdenek