Unsupervised learning of action classes with continuous temporal embedding

Anna Kukleva, Hilde Kuehne, Fadime Sener +1

The task of temporally detecting and segmenting actions in untrimmed videos has seen an increased attention recently. One problem in this context arises from the need to define and…