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Proceedings of the 2016 ACM Workshop on Multimedia COMMONS - MMCommons '16
This paper presents a corpus of deep features extracted from the YFCC100M images considering the fc6 hidden layer activation of the HybridNet deep convolutional neural network. For a set of random selected queries we made available k-NN results obtained sequentially scanning the entire set features comparing both using the Euclidean and Hamming Distance on a binarized version of the features. This set of results is ground truth for evaluating Content-Based Image Retrieval (CBIR) systems thatdoi:10.1145/2983554.2983557 fatcat:ayqkkrvufbgmxoicy35iogneju