Aug 1, 2024 · In this article, we will delve into the fundamental concepts of deep learning for computer vision, exploring the architecture of convolutional neural networks, key techniques …

Dec 15, 2021 · We identify eight emerging techniques, investigate their origins and updates, and finally emphasize their applications in four key scenarios, including recognition, visual tracking, …

This review paper provides a brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep …

Sep 17, 2024 · Computer vision, the field that enables computers to interpret and understand the visual world, has undergone a revolutionary transformation thanks to deep learning. What was …

Jun 12, 2023 · Deep learning models, particularly convolutional neural networks (CNNs), have revolutionized the way we analyze and understand visual data. By leveraging large-scale …

Mar 25, 2020 · Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related …

With the rapid development of computer vision technology, image recognition, as one of its core tasks, plays an important role in several industries. However, t.

Apr 24, 2025 · Computer vision algorithms make it possible for AI models to respond to visual cues. Explore how algorithms like image classification and object detection work, how to use …

In this tutorial, we aim to build a bridge between the empirical performance of neural networks and deep learning theory. In particular, we want to make the recent deep learning (DL) theory …

Apr 11, 2018 · It first inspects the various approaches of deep learning algorithms, followed by a description of their applications in image classification, object identification, image extraction …