Text/non-text image classification in the wild with convolutional neural networks

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Recent advances in convolutional neural networks (2015, background): “Recently, the focus has been shifted to text recognition on scene images due to the growing trend of high-level visual understanding in computer vision research [233, 234].”
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation (2019, unknown): “Here the hyperparameters are obtained by experiences, following the settings in open published literature [4, 7, 16].”
Residual Conv-Deconv Grid Network for Semantic Segmentation (2017, background): “C V ] 26 J u l 2017 main advantage of these networks is that they produce 2D matrices as output, allowing the network to label an entire image directly. alain a r X i v : 1707 .”