Unlocking Efficiency in Vision Transformers: How Sparse Mobile Vision MoEs Outperform Dense Counterparts on Resource-Constrained Applications

A neural network architecture called a Mixture-of-Experts (MoE) combines the predictions of various expert neural networks. MoE models deal with complicated jobs where several subtasks or elements of the problem call for specialized knowledge. They were introduced to strengthen neural networks’ representations and enable them to handle various challenging tasks. In addition, a neural network […]

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