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Found 7 papers, 3 papers with code
Best Practices for a Handwritten Text Recognition System
Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications.
Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
Recent advances in segmentation-free keyword spotting treat this problem w. r. t.
On the Matrix Form of the Quaternion Fourier Transform and Quaternion Convolution
We focus especially on the relation of Quaternion Fourier Transform matrices to Quaternion Circulant matrices (representing quaternionic convolution), and the eigenstructure of the latter.
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Our proposed method is able to generate realistic word image samples from different writer styles, by using class index styles and text content prompts without the need of adversarial training, writer recognition, or text recognition.
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Trainable Learning Rate
Selecting an appropriate learning rate for efficiently training deep neural networks is a difficult process that can be affected by numerous parameters, such as the dataset, the model architecture or even the batch size.
WSRNet: Joint Spotting and Recognition of Handwritten Words
The related joint loss leads to a boost in recognition performance, while the Seq2Seq branch is used to create efficient word representations.
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks
In this work, we present a method for automatic colorization of grayscale videos.
