<ul><li>Vision Transformers (ViTs) are fundamentally challenging traditional Convolutional Neural Networks (CNNs) in the field of computer vision.</li><li>The computer vision landscape is undergoing a significant shift, akin to the AlexNet revolution of 2012, with ViTs disrupting conventional visual information processing.</li><li>Extensive benchmarks and recent literature indicate surprising results, revealing ViTs as potential winners over CNNs, impacting future computer vision projects.</li><li>A company's image classification pipeline redesign highlighted ViTs from Google's latest research as a viable alternative to CNNs, prompting a rethink in approaching computer vision tasks.</li></ul>

CNNs vs Vision Transformers in 2025: Who Wins the Computer Vision War?

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