Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...
The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...
Abstract: Deep learning has emerged as a critical paradigm in hyperspectral image (HSI) classification, addressing the inherent challenges posed by high-dimensional data and limited labeled samples.
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Developed to benchmark and explore the full capabilities of the Venice.ai API, the venice-ai Python package has evolved into a comprehensive client library for developers. This library provides ...
90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.
GRANTS PASS, Ore — Wildlife Images executive director Dave Siddon is no stranger to the Sunrise studio, and he always brings a friend or two along with him when he visits. This morning was no ...