Technology is disclosed herein for learning motion in video. In an implementation, an
artificial neural network extracts features from a video. A correspondence proposal (CP)
module performs, for at least some of the features, a search for corresponding features in the
video based on a semantic similarity of a given feature to others of the features. The CP
module then generates a joint semantic vector for each of the features based at least on the
semantic similarity of the given feature to one or more of the corresponding features and a …