@InProceedings{BojanaGajic2019,
author="Bojana Gajic
and Ariel Amato
and Ramon Baldrich
and Carlo Gatta",
title="Bag of Negatives for Siamese Architectures",
booktitle="30th British Machine Vision Conference",
year="2019",
abstract="Training a Siamese architecture for re-identification with a large number of identities is a challenging task due to the difficulty of finding relevant negative samples efficiently. In this work we present Bag of Negatives (BoN), a method for accelerated and improved training of Siamese networks that scales well on datasets with a very large number of identities. BoN is an efficient and loss-independent method, able to select a bag of high quality negatives, based on a novel online hashing strategy.",
optnote="CIC; 600.140; 600.118",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3263), last updated on Tue, 25 Jan 2022 10:39:30 +0100",
file=":http://refbase.cvc.uab.es/files/GAB2019b.pdf:PDF"
}