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Bojana Gajic; Ariel Amato; Ramon Baldrich; Carlo Gatta |
 
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| Title | Bag of Negatives for Siamese Architectures | Type | Conference Article | |||
| Year | 2019 | Publication | 30th British Machine Vision Conference | Abbreviated Journal | ||
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| 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. | |||||
| Address | Cardiff; United Kingdom; September 2019 | |||||
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| Area | Expedition | Conference | BMVC | |||
| Notes | CIC; 600.140; 600.118;MILAB;ISE | Approved | no | |||
| Call Number | Admin @ si @ GAB2019b | Serial | 3263 | |||
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