Mixup data augmentation approaches have been applied for various tasks of deep learning
to improve the generalization ability of deep neural networks. Some existing approaches …

Recently a number of image-mixing-based augmentation techniques have been introduced
to improve the generalization of deep neural networks. In these techniques two or more …

Semi-supervised learning (SSL) has witnessed great progress with various improvements in
the self-training framework with pseudo labeling. The main challenge is how to distinguish …

As a representative of a new generation of biometrics, vein identification technology offers a
high level of security and convenience. Convolutional neural networks (CNNs), a prominent …

Data augmentation is widely used to enhance generalization in visual classification tasks.
However, traditional methods struggle when source and target domains differ, as in domain …

Photovoltaic (PV) power generation has become a primary method of energy production due
to its clean and sustainable nature. Therefore, efficient fault detection and classification in …

As Deep Neural Networks have achieved thrilling breakthroughs in the past decade, data
augmentations have garnered increasing attention as regularization techniques when …

Deep neural networks have recently achieved promising performance in the vein
recognition task and have shown an increasing application trend, however, they are prone …

Palm vein recognition has attracted recently wide attention thanks to its robust feature
representation and high accuracy. Despite advancements in the literature, however, existing …

Due to the advantages such as high security, high privacy, and liveness recognition, vein
recognition has been received more and more attention in past years. Recently, deep …