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A Survey on Image Aesthetic Assessment
Automatic image aesthetics assessment is a computer vision problem dealing with categorizing images into different aesthetic levels.
Anomalous entities detection using a cascade of deep learning models
Patches extracted from each key point are utilized in the second stage to build a densely connected deep convolutional neural network model for detecting anomalous entities.
Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification
Efficient and accurate joint representation of a collection of images, that belong to the same class, is a major research challenge for practical image set classification.
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