Image Retrieval Using Multi-scale CNN Features Pooling
Federico Vaccaro, Marco Bertini, Tiberio Uricchio, Alberto del Bimbo . Proceedings of the 2020 International Conference on Multimedia Retrieval 2020 – 16 citations
[Paper]
In this paper, we address the problem of image retrieval by learning images representation based on the activations of a Convolutional Neural Network. We present an end-to-end trainable network architecture that exploits a novel multi-scale local pooling based on NetVLAD and a triplet mining procedure based on samples difficulty to obtain an effective image representation. Extensive experiments show that our approach is able to reach state-of-the-art results on three standard datasets.