CNN Compression via Channel-Wise Variance-Based Filter Pruning

In recent years, the focus on lightweight convolutional neural networks has led to extensive research in pruning techniques to reduce model size and inference cost while maintaining accuracy. Traditional structured pruning methods that rely on magnitude-based metrics, such as L1/L2 norms or geometri...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Jinse Kwon, Jemin Lee, Sihyeong Park, Hyungshin Kim
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Neural network pruning model compression filter importance variance-based criterion CNN structured pruning
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11352833/
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