Add to Favourites
To login click here
Visual transformers are a type of neural network that is inspired by the transformer architecture, which was originally developed for natural language processing (NLP). Visual transformers have been shown to be effective for a variety of image recognition tasks, including object detection, image classification, and image segmentation. One of the main advantages of visual transformers is that they are able to learn global features from images, whereas CNNs are only able to learn local features.
