2019
Weakly-Supervised Action Localization With Background Modeling
ICCV 2019poster
We describe a latent approach that learns to detect actions in long sequences given training videos with only whole-video class labels. Our approach makes use of two innovations to attention-modeling in weakly-supervised learning. First, and most notably, our framework uses an attention model to ext…