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Mar, 2023
为高效视频识别最大化深度3D CNN的时空熵
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
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Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun...
TL;DR
该研究提出了一种新的无需训练,基于最大熵原则的3D CNN信息系统熵评价方法,通过在给定计算预算下,使用进化算法最大化评分以实现高效、具有表达力的3D CNN体系结构的自动设计,从而在视频识别方面实现了最先进的性能和更高的计算效率。
Abstract
3d convolution neural networks
(CNNs) have been the prevailing option for
video recognition
. To capture the temporal information, 3D convolutions are computed along the sequences, leading to cubically growing and
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