intro: Universitat Autonoma de Barcelona (UAB) & University of Florence.

Improving Text Proposals for Scene Images with Fully Convolutional Networks Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural NetworksĭeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural ImagesĮnd-to-End Interpretation of the French Street Name Signs DatasetĮnd-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance Recursive Recurrent Nets with Attention Modeling for OCR in the Wild

intro: Convolutional Recurrent Neural Network (CRNN).

Reading Scene Text in Deep Convolutional SequencesĭeepFont: Identify Your Font from An ImageĪn End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

intro: “propose an architecture consisting of a character sequence CNN and an N-gram encoding CNN which act on an input image in parallel and whose outputs are utilized along with a CRF model to recognize the text content present within the image.”.

Reading Text in the Wild with Convolutional Neural Networksĭeep structured output learning for unconstrained text recognition Word Spotting and Recognition with Embedded Attributes Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural NetworksĮnd-to-End Text Recognition with Convolutional Neural Networks

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