Rewrite the Stars
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 op...
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Published in | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 5694 - 5703 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
16.06.2024
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Subjects | |
Online Access | Get full text |
ISSN | 1063-6919 |
DOI | 10.1109/CVPR52733.2024.00544 |
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Abstract | 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 of mapping inputs into high-dimensional, non-linear feature spaces-akin to kernel tricks-without widening the network. We further introduce StarNet, a simple yet pow-erful 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. |
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AbstractList | 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 of mapping inputs into high-dimensional, non-linear feature spaces-akin to kernel tricks-without widening the network. We further introduce StarNet, a simple yet pow-erful 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. |
Author | Dai, Xiyang Fu, Yun Bai, Yue Wang, Yizhou Ma, Xu |
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Snippet | Recent studies have drawn attention to the untapped potential of the "star operation" (element-wise multiplication) in network design. While intuitive... |
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SubjectTerms | Computer vision element-wise multiplication Pattern recognition Polynomials Prototypes rewrite the stars Solids StarNet Stars Visualization |
Title | Rewrite the Stars |
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