Deep Learning for Computer Vision: Investigating deep learning techniques for computer vision tasks such as object detection, recognition, and segmentation

Abstract

Deep learning has revolutionized computer vision by significantly improving the performance of various tasks such as object detection, recognition, and segmentation. This paper provides a comprehensive overview of deep learning techniques in computer vision, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and their variants. We discuss the evolution of deep learning in computer vision, highlighting key milestones and breakthroughs. Furthermore, we examine the challenges and future directions in the field, including interpretability, robustness, and scalability. Overall, this paper aims to provide a thorough understanding of the current state of deep learning for computer vision and its potential impact on various applications.