How has deep learning transformed the field of computer vision compared to traditional methods? What role do neural networks, especially CNNs, play in improving image recognition and processing? How has deep learning enabled advancements in tasks like object detection, image segmentation, and facial recognition? What are some real-world applications where deep learning has significantly improved computer vision systems? What challenges and limitations still exist despite these advancements?