Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

A new method for automated concrete bridge damage detection using an efficient Vision Transformer-enhanced anchor-free YOLO (You Only Look Once) has been proposed by researchers from the University of ...

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 were first introduced by the team at Google Brain in 2017 in their paper, “Attention is All You Need”. Since their introduction, transformers have inspired a flurry of investment and ...

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