Dropped scheduled task: Mitigating negative transfer in multi-task learning using dynamic task dropping

A Malhotra, M Vatsa, R Singh - Transactions on Machine Learning …, 2022 - openreview.net
In Multi-Task Learning (MTL), K distinct tasks are jointly optimized. With the varying nature
and complexities of tasks, few tasks might dominate learning. For other tasks, their …

Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions

SA Grosz, AK Jain - arXiv preprint arXiv:2404.13791, 2024 - arxiv.org
The utilization of synthetic data for fingerprint recognition has garnered increased attention
due to its potential to alleviate privacy concerns surrounding sensitive biometric data …

Fluorescent Materials for Latent Fingerprint Detection

P Rasin, VS Kumar, KM Malappuram… - Current Analytical …, 2023 - ingentaconnect.com
This review provides a comprehensive examination of the application of fluorescence
materials for the detection of latent fingerprints in forensic sciences. Traditional methods like …

A Latent Fingerprint in the Wild Database

X Liu, K Raja, R Wang, H Qiu, H Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Latent fingerprints are among the most important and widely used evidence in crime scenes,
digital forensics and law enforcement worldwide. Despite the number of advancements …

[HTML][HTML] Recovery of Incomplete Fingerprints Based on Ridge Texture and Orientation Field

Y Sun, X Chen, Y Tang - Electronics, 2024 - mdpi.com
The recovery of mutilated fingerprints plays an important role in improving the accuracy of
fingerprint recognition and the speed of identity retrieval, so it is crucial to recover mutilated …