<p>FasterViT is a hybrid CNN-ViT neural network that combines the strengths of CNNs and ViTs, achieving high image throughput for computer vision tasks. It introduces a Hierarchical Attention (HAT) approach for efficient self-attention, resulting in state-of-the-art accuracy and faster performance.

<a href="https://arxiv.org/abs//2306.06189" target="_blank" rel="noopener noreferer">https://arxiv.org/abs//2306.06189</a></p>

FasterViT is a hybrid CNN-ViT neural network that combines the strengths of CNNs and ViTs, achieving high image throughput for computer vision tasks. It introduces a Hierarchical Attention (HAT) approach for efficient self-attention, resulting in state-of-the-art accuracy and faster performance. https://arxiv.org/abs//2306.06189

<p>FasterViT is a hybrid CNN-ViT neural network that combines the strengths of CNNs and ViTs, achieving high image throughput for computer vision tasks. It introduces a Hierarchical Attention (HAT) approach for efficient self-attention, resulting in state-of-the-art accuracy and faster performance.

<a href="https://arxiv.org/abs//2306.06189" rel="noopener noreferrer">https://arxiv.org/abs//2306.06189</a></p>

FasterViT: Fast Vision Transformers with Hierarchical Attention

Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers

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FasterViT: Fast Vision Transformers with Hierarchical Attention

FasterViT: Fast Vision Transformers with Hierarchical Attention

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