Seunghwan Cha

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition

Deep neural networks for video action recognition frequently require 3D convolutional filters and often encounter overfitting due to a larger number of parameters. In this paper, we propose Random Mean Scaling (RMS), a simple and effective regularization method, to relieve the overfitting problem in…