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IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
The first module, an interpretable dense registration module, establishes a Vision Transformer (ViT)-based Siamese Network to capture long-range dependencies and the global context in fingerprint pairs.
Balancing Accuracy and Latency in Multipath Neural Networks
In this work, we use a one-shot neural architecture search model to implicitly evaluate the performance of an intractable number of multipath neural networks.
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