YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval

@inproceedings{Amato2016YFCC100MHF,
  title={YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval},
  author={Giuseppe Amato and Fabrizio Falchi and Claudio Gennaro and Fausto Rabitti},
  booktitle={MMCommons @ ACM Multimedia},
  year={2016}
}
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 that… CONTINUE READING

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