2018
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
CVPR 2018poster
Video learning is an important task in computer vision and has experienced increasing interest over the recent years. Since even a small amount of videos easily comprises several million frames, methods that do not rely on a frame-level annotation are of special importance. In this work, we propose…