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Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
To corroborate the effectiveness of the proposed method, we evaluate the video classification task by comparing our dynamic cropping technique with random cropping on three benchmark datasets, viz.
Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems
Further exploring multistream models, we conceive a multi-tier fusion strategy for the spatial and temporal wings of a network.
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