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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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26950/ |
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