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01/13/2022
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
The challenging field of scene text detection requires complex data anno...
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07/14/2021
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
One of the most pressing problems in the automated analysis of historica...
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11/04/2020
Handwriting Classification for the Analysis of Art-Historical Documents
Digitized archives contain and preserve the knowledge of generations of ...
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10/21/2020
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Generative Adversarial Networks (GANs) have achieved state-of-the-art pe...
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01/16/2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Binary Neural Networks (BNNs) are neural networks which use binary weigh...
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11/19/2019
KISS: Keeping It Simple for Scene Text Recognition
Over the past few years, several new methods for scene text recognition ...
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11/14/2018
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Recently, deep neural networks have achieved remarkable performance on t...
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09/27/2018
Learning to Train a Binary Neural Network
Convolutional neural networks have achieved astonishing results in diffe...
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12/14/2017
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Detecting and recognizing text in natural scene images is a challenging,...
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07/27/2017
STN-OCR: A single Neural Network for Text Detection and Text Recognition
Detecting and recognizing text in natural scene images is a challenging,...
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05/27/2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Binary Neural Networks (BNNs) can drastically reduce memory size and acc...
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04/04/2016