Visual Transformers Are Key To The Next Level Of Innovation In Image-related Ai Applications

Visual transformers are a type of neural network inspired by the transformer architecture originally developed for natural language processing (NLP). They have been shown to be effective for various image recognition tasks such as object detection, image classification, and image segmentation. Visual transformers can learn global features from images, which makes them more efficient than convolutional neural networks (CNNs). Visual transformers are becoming increasingly popular for image recognition tasks and are already being used in a variety of commercial applications.