Vision Transformers: An Innovative Approach to Image Processing!
Unlocking the Power of Multi-Head Self-Attention for Image Analysis. —  Vision Transformer (ViT) is a transformer-based deep learning architecture for image classification tasks. It was introduced in the paper “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” by Dosovitskiy et al. (2020). The main idea behind ViT is to represent an image as a sequence of…
Vision Transformers: An Innovative Approach to Image Processing! Unlocking the Power of Multi-Head Self-Attention for Image Analysis. —  Vision Transformer (ViT) is a transformer-based deep learning architecture for image classification tasks. It was introduced in the paper “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” by Dosovitskiy et al. (2020). The main idea behind ViT is to represent an image as a sequence of… image-processing
Vision Transformers Innovative Approach Image Processing Unlocking Power MultiHead SelfAttention Image Analysis — Vision Transformer ViT transformerbased deep learning architecture image classification task introduced paper “An Image Worth 16x16 Words Transformers Image Recognition Scale” Dosovitskiy et al 2020 main idea behind ViT represent image sequence of… imageprocessing