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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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 ...

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

Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more ...

Investigators found Bloodworth had access to Thaden School's photography studio, but they were unsure if he had a permanent office there.

The Bentonville photographer accused of generating child sexual abuse materials (CSAM) using artificial intelligence appeared ...

Researchers have produced the most detailed map yet of how stem cells in the growing tip of a plant begin their journey to form the many cell types that shape flowers and stems. They identified 18 ...

Artificial Intelligence-Assisted Medical Imaging Solutions for Integrating Pathology and Radiology Automated Systems - Volume III ...