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Found 6 papers, 2 papers with code
Human activity recognition from mobile inertial sensors using recurrence plots
In this paper, we present an approach for human activity recognition based on inertial sensors by employing recurrence plots (RP) and visual descriptors.
Exploiting ConvNet Diversity for Flooding Identification
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities.
Bag of Attributes for Video Event Retrieval
This model is used to map low-level frame vectors into high-level vectors (e. g., classifier probability scores).
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and using ConvNets as feature extractors.
Semantic Diversity versus Visual Diversity in Visual Dictionaries
Results for image classification show that as visual dictionaries are based on low-level visual appearances, visual diversity is more important than semantic diversity.
Bag of Genres for Video Retrieval
The Bag of Genres video vector contains a summary of the activations of each genre in the video content.
