Robust cross-domain Pseudo-labeling and contrastive learning for unsupervised domain adaptation NIR-VIS face recognition
Near-infrared and visible face recognition (NIR-VIS) is attracting increasing attention
because of the need to achieve face recognition in low-light conditions to enable 24-hour …
because of the need to achieve face recognition in low-light conditions to enable 24-hour …
Pseudo Label Association and Prototype-Based Invariant Learning for Semi-Supervised NIR-VIS Face Recognition
Remarkable success of the existing Near-InfraRed and VISible (NIR-VIS) approaches owes
to sufficient labeled training data. However, collecting and tagging data from different …
to sufficient labeled training data. However, collecting and tagging data from different …
A detection method of Auricularia auricula mycelium storage period based on near-infrared spectral characteristics and deep learning model
H Guan, H Zhou, X Ma, C Yang, J Yang, B Fan… - Infrared Physics & …, 2024 - Elsevier
The storage time of Auricularia auricula mycelium was an important factor influencing its
growth activity. The rapid detection of storage time had important theoretical significance …
growth activity. The rapid detection of storage time had important theoretical significance …
ASIFusion: An Adaptive Saliency Injection-Based Infrared and Visible Image Fusion Network
The purpose of infrared and visible image fusion (IVIF) is to acquire a more informative fused
image by leveraging complementary information, facilitating human perception and machine …
image by leveraging complementary information, facilitating human perception and machine …
Unsupervised NIR-VIS Face Recognition via Homogeneous-to-Heterogeneous Learning and Residual-Invariant Enhancement
Near-Infrared and Visible light (NIR-VIS) face recognition methods have achieved
remarkable success in the fields of security surveillance, criminal investigation, and …
remarkable success in the fields of security surveillance, criminal investigation, and …
Smartphone Photography Visual Localization Based on An Improved Siamese Neural Network
Q Pu, R Cai, M Zhou, K Luo… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the increasing popularity of smartphones, smartphone photography has become
convenient and common in daily life, thus making visual localization technology receive …
convenient and common in daily life, thus making visual localization technology receive …
Deep Learning Model Based Criminal Identification System for Law Enforcement Department
CrimeNet is an innovative automatic criminal identification system developed for law
enforcement agencies to streamline and enhance the classification of criminals. Leveraging …
enforcement agencies to streamline and enhance the classification of criminals. Leveraging …