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Greatest papers with code
Robust Scene Text Recognition with Automatic Rectification
We show that the model is able to recognize several types of irregular text, including perspective text and curved text.
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks
Rectified linear unit (ReLU) is a widely used activation function for deep convolutional neural networks.
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
SCENE text recognition has attracted great interest from the academia and the industry in recent years owing to its importance in a wide range of applications.
OPTICAL CHARACTER RECOGNITION RECTIFICATION SCENE TEXT SCENE TEXT RECOGNITION
A Multi-Object Rectified Attention Network for Scene Text Recognition
It decreases the difficulty of recognition and enables the attention-based sequence recognition network to more easily read irregular text.
Generic 3D Representation via Pose Estimation and Matching
Though a large body of computer vision research has investigated developing generic semantic representations, efforts towards developing a similar representation for 3D has been limited.
Rethinking Irregular Scene Text Recognition
• Jyouhou/ICDAR2019-ArT-Recognition-Alchemy
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Reading text from natural images is challenging due to the great variety in text font, color, size, complex background and etc..
Document Rectification and Illumination Correction using a Patch-based CNN
We propose a novel learning method to rectify document images with various distortion types from a single input image.
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications.
KISS: Keeping It Simple for Scene Text Recognition
Most of these methods propose novel building blocks for neural networks.
On the adequacy of untuned warmup for adaptive optimization
The stability of such algorithms is often improved with a warmup schedule for the learning rate.
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Machine Translation
on WMT2016 English-German
IMAGE CLASSIFICATION LANGUAGE MODELLING MACHINE TRANSLATION RECTIFICATION