BriefGPT.xyz
May, 2020
上下文感知和规模无关的时间重复计数
Context-aware and Scale-insensitive Temporal Repetition Counting
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Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He
TL;DR
本研究提出了一种上下文感知、不受时间尺度影响的框架,用于解决复杂重复动作的数量估计问题。通过回归方法和粗到细的循环长度细化方法,该框架能够准确地捕获不同领域的重复模式,此外,还构建了一个新的、最大的基准来促进该领域的训练和评估。
Abstract
temporal repetition counting
aims to estimate the number of cycles of a given repetitive action. Existing
deep learning
methods assume repetitive actions are performed in a fixed time-scale, which is invalid for
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