Semantic segmentation assigns a semantic label to every pixel in an image, enabling detailed scene understanding that supports tasks such as autonomous navigation, medical diagnosis and environmental ...

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 ...

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 ...

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 ...

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 ...