In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

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 ...

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

The segmentation details produced by different methods are shown in focus in the blue rectangular box areas. The proposed method performs better than other methods. Medical image segmentation is a ...

With the continual evolution of modern technology systems and devices such as self-driving cars, mobile phones, and security systems that include assistance from cameras, deep learning models are ...