A Computationally Efficient Multidimensional Vision Transformer

Researchers have developed a new tensor-based framework for Vision Transformers using Tensor Cosine Product to reduce computational and memory costs without sacrificing performance. This advancement offers content creators more efficient tools for deploying state-of-the-art computer vision models in practical applications.

Read the full article at arXiv cs.LG (ML)

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