2017
Temporal Action Localization by Structured Maximal Sums
CVPR 2017poster
We address the problem of temporal action localization in videos. We pose action localization as a structured prediction over arbitrary-length temporal windows, where each window is scored as the sum of frame-wise classification scores. Additionally, our model classifies the start, middle, and end o…