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...
Main Authors: | Ayse Serbetci, Yusuf Sinan Akgul |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10138817/ |
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