Unsupervised learning from narrated instruction videos project page
Abstract We address the problem of automatically learning the main steps to complete a certain task, such as changing a car tire, from a set of narrated instruction videos. The contributions of this paper are three-fold. First, we develop a new unsupervised learning approach that takes advantage of the complementary nature of the input video and the associated narration. The method solves two clus
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition Our trained NetVLAD descriptor correctly recognizes the location (b) of the query photograph (a) despite the large amount of clutter (people, cars), changes in viewpoint and completely different illumination (night vs daytime). Abstract We tackle the problem of large scale visual place recognition, where the task is to quickly and a
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Video Dataset Overview
https://www.di.ens.fr/~fbach/mairal_icml09.pdf
