Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...
Sufi K Sulaiman Joins 1cPlatform as CTO, Taking the Helm to Shape the Company’s Next Era of Intelligent Automation and ...
Authored by Karthik Chandrakant, this foundational resource introduces readers to the principles and potential of AI. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...
Abstract: We introduce a new perspective and a theory, called Quantum Vision (QV) theory in deep learning, for object recognition. The proposed theory is based on particle-wave duality of quantum ...
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...
Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback