High Accuracy: Deep learning models can achieve state-of-the-art performance on many tasks, often surpassing human-level accuracy in areas like image recognition and language understanding.

Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore ...

Deep learning's availability of large data and compute power makes it far better than any of the classical machine ... where each function composition is learning complex features about an image.

Specifically, discriminative learning based on deep learning can well address the Gaussian noise. Optimization model methods based on deep learning have good effect on estimating of the real noise. So ...

Deep-learning algorithms effectively operate as black boxes, but some tools can provide clues to their reasoning. “You can tell, for example, which part of an image was most important in making ...

Deep Learning Image Classification with CNN – An Overview. Machine Learning and AI to Identify Objects, Image recognition, Suspect Tracking, Speed Limit Radar. by Anilkumar N Bhatt In this article, we ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

In the last decade, deep learning has rapidly advanced and achieved significant breakthroughs in the field of image processing. This survey aims to provide a comprehensive overview of recent ...

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ...