Continuous unsupervised representation learning (CURL) research has greatly benefited
from improvements in self-supervised learning (SSL) techniques. As a result, existing CURL …

Data augmentation is a fundamental technique in machine learning that plays a crucial role
in expanding the size of training datasets. By applying various transformations or …

From smart sensors on assembly lines to robots performing complex tasks, the fourth
industrial revolution is rapidly transforming manufacturing. The growing prominence of 3D …

Self-supervised learning (SSL) is a powerful technique for learning from unlabeled data. By
learning to remain invariant to applied data augmentations, methods such as SimCLR and …

Ensuring the secure and dependable deployment of deep neural networks hinges on their
ability to withstand distributional shifts and distortions. While data augmentation enhances …

A plant is susceptible to numerous illnesses while it is growing. The early detection of plant
illnesses is one of the most serious problems in agriculture. Plant disease outbreaks may …

In the modern era, images have emerged as powerful tools for concealing information,
giving rise to innovative methods like watermarking and steganography, with end-to-end …