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P-SN es un clasificador de noticias falsas que utiliza características independientes del lenguaje representadas como series de tiempo. \\ P-SN is a fake news classifier that uses language-agnostic features represented as time series.
Verification of off-line signatures is one of the most challenging tasks in biometrics and document forensic science. In this thesis, we deal with Convolutional Siamese Network model which is capable of doing verification of Bengali and Hindi Signature. One particular advantage of Siamese Neural networks is the ability to generalize to new class…
Repository containing code for Siamese SIREN: Audio Compression with Implicit Neural Representations. Published as a workshop paper at ICML 2023 neural compression workshop.
This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the fe…
This project is an advanced facial verification application built using a Siamese Neural Network, offering a robust and secure method for identity verification. This project leverages the power of deep learning and computer vision techniques to provide reliable and accurate facial verification capabilities.