Abstract: Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more ...

Abstract: This paper introduces a few-shot transfer learning approach to fault classification in wireless sensor networks (WSNs) with a minimal number of fault samples. WSNs are susceptible to various ...

This repository aims at reproducing the results from "CBAM: Convolutional Block Attention Module". We use the module coinjointly with the ResNet CNN architecture. The module is tested on the CIFAR10 ...

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Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...

A stunningly concentrated and hefty galaxy cluster, from a time in the universe's history when such massive structures aren't ...

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...

Training a computer vision model on a 50:50 blend of synthetic and real eye images produces more reliable segmentation of the ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...