Discriminatively Learned Hierarchical Rank Pooling Networks
Rank pooling is a temporal encoding method that summarizes the dynamics of a video sequence to a single vector which has shown good results in human action recognition in prior work. In this work, we present novel temporal encoding methods for action and activity classification by extending the unsupervised rank pooling temporal encoding method in two ways. First, we present discriminative rank pooling in which the shared weights of our video representation and the parameters of the action...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Computer Vision|
|Access Rights:||Open Access|
|1705.10420.pdf||Author Accepted Manuscript||5.09 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.