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cs.CV2022
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
Hengyi Wang, Chaoran Zhu, Ziyin Ma +1
We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…
cs.CV2020★ 1 cited
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos
Jianqin Yin, Yanchun Wu, Huaping Liu +3
Action repetition counting is to estimate the occurrence times of the repetitive motion in one action, which is a relatively new, important but challenging measurement problem. To…