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: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...
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 ...
90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.
A comprehensive dataset of tomato images captured in a plant factory environment, designed for object detection and classification tasks. The dataset features micro tomato variety images with ...
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 ...