Regularizing Binary Neural Networks via Ensembling for Efficient Person Re-Identification

Regularizing Binary Neural Networks via Ensembling for Efficient Person Re-Identification

This study aims to leverage Binary Neural Networks (BNN) to learn binary hash codes for efficient person re-identification (ReID). BNNs, which use binary weights and activations, show promise in speeding up the inference time in deep models. However, BNNs typically suffer from performance degradatio...

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Bibliographic Details
Main Authors: Ayse Serbetci, Yusuf Sinan Akgul
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Binary neural network
network regularization
hash retrieval
ensemble learning
person re-identification
Online Access:https://ieeexplore.ieee.org/document/10138817/

Internet

https://ieeexplore.ieee.org/document/10138817/

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