Could It Be the Patches? This AI Approach Analyzes the Key Contributor to the Success of Vision Transformers

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2023/04/Screenshot-2023-04-24-at-4.22.18-AM-300x117.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2023/04/Screenshot-2023-04-24-at-4.22.18-AM-1024x401.png"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2023/04/Screenshot-2023-04-24-at-4.22.18-AM-300x117.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2023/04/Screenshot-2023-04-24-at-4.22.18-AM-1024x401.png">Convolutional neural networks (CNNs) have been the backbone of systems for computer vision tasks. They have been the go-to architecture for all types of problems, from object detection to image super-resolution. In fact, the famous leaps (e.g., AlexNet) in the deep learning domain have been made possible thanks to convolutional neural networks. However, things changed […]

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