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Transformer based Fingerprint Feature Extraction
Our convolutional transformer based approach with an in-built minutiae extractor provides a time and memory efficient solution to extract a global as well as a local representation of the fingerprint.
Learning Fashion Compatibility from In-the-wild Images
In this work, we propose to learn representations for compatibility prediction from in-the-wild street fashion images through self-supervised learning by leveraging the fact that people often wear compatible outfits.
A Unified Model for Fingerprint Authentication and Presentation Attack Detection
Therefore, rather than performing the two tasks separately, we propose a joint model for spoof detection and matching to simultaneously perform both tasks without compromising the accuracy of either task.
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