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About 5416 Deep Learning Face Representation by Joint Identification Verification
This document describes a deep learning approach that jointly uses face identification and verification signals to learn effective face representations. The identification task increases differences between face features of different identities, while the verification task reduces differences of the same identity. These two tasks are combined using a deep convolutional neural network that extracts a 160-dimensional feature vector. This joint approach achieves 99.15% accuracy on face verification, outperforming previous methods.
Detailed Information
| Author: | ['Vanathi Andiran'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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