IEEE

Document Image Binarization Using Dual Discriminator Generative Adversarial Networks

Abstract: For document image analysis, image binarization is an important preprocessing step. Also, binarization can help in improving the readability of old and historical manuscripts. Such documents ...
IEEE

Document Image Binarization With Stroke Boundary Feature Guided Network

Abstract: Text is the most crucial element in a document image but is often disconnected in document image binarization. Most of the previous methods based on deep learning do not focus on structure ...
eLife

Linear and categorical coding units in the mouse gustatory cortex drive population dynamics and behavior in taste decision-making

This important work advances our understanding of the single neuron coding types in the mouse gustatory cortex and the functional roles of these neurons for perceptual decision-making. The conclusions ...
GitHub

SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation

This repository contains the PyTorch implementation for "SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation" by Zhuo Su, Max Welling, Matti Pietikäinen and Li Liu* (* ...
GitHub

beargolden/H-DIBCO-2018

2025/10: The European Association for Signal Processing (EURASIP) has updated the “Best Paper Awards” section on its official website. Please click here. We first perform the morphological bottom-hat ...