Deep Learning Based Face Recognition Method using Siamese Network. (arXiv:2312.14001v1 [cs.CV])

Achieving state-of-the-art results in face verification systems typically
hinges on the availability of labeled face training data, a resource that often
proves challenging to acquire in substantial quantities. In this research
endeavor, we proposed employing Siamese networks for face recognition,
eliminating the need for labeled face images. We achieve this by strategically
leveraging negative samples alongside nearest neighbor counterparts, thereby
establishing positive and negative pairs through an unsupervised methodology.
The architectural framework adopts a VGG encoder, trained as a double …

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