Reimagining Image Recognition: Unveiling Google’s Vision Transformer (ViT) Model’s Paradigm Shift in Visual Data Processing

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. Traditionally, Convolutional Neural Networks (CNNs) have been the go-to models for processing image data, leveraging their ability to extract meaningful features and classify visual information. However, recent advancements have paved the way for exploring alternative […]

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