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Rewrite the Stars

2024-03-29 · CVPR 2024 1 · Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu

Recent studies have drawn attention to the untapped potential of the "star operation" (element-wise multiplication) in network design. While intuitive explanations abound, the foundational rationale behind its application remains largely unexplored. Our study attempts to reveal the star operation's ability to map inputs into high-dimensional, non-linear feature spaces -- akin to kernel tricks -- without widening the network. We further introduce StarNet, a simple yet powerful prototype, demonstrating impressive performance and low latency under compact network structure and efficient budget. Like stars in the sky, the star operation appears unremarkable but holds a vast universe of potential. Our work encourages further exploration across tasks, with codes available at https://github.com/ma-xu/Rewrite-the-Stars.

📄 PDF Abstract BibTeX arXiv:2403.19967

Code (4)

ma-xu/rewrite-the-stars 공식 구현 pytorch
rwightman/pytorch-image-models 공식 구현 pytorch
Westlake-AI/openmixup pytorch
https://gitlab.com/birder/birder pytorch

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