Deep learned compact binary descriptor with a lightweight network-in-network architecture for visual description

Binary descriptors have been widely used for real-time image retrieval and correspondence matching. However, most of the learned descriptors are obtained using a large deep neural network (DNN) with several million parameters, and the learned binary codes are generally not invariant to many geometri...

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Bibliographic Details
Main Authors: Bandara, Ravimal, Ranathunga, Lochandaka, Abdullah, Nor Aniza
Format: Article
Published: Springer 2021
Subjects:
Online Access:http://eprints.um.edu.my/26950/
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Institution: Universiti Malaya