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Found 2 papers, 2 papers with code
Learning ordered pooling weights in image classification
We present a method to learn the weights of the OWA aggregation operator in a Bag-of-Words framework and in Convolutional Neural Networks, and provide an extensive evaluation showing that OWA based pooling outperforms classical aggregation operators.
Co-occurrence of deep convolutional features for image search
The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative global descriptor can be obtained.
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