Abstract: Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Abstract: Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI, Education, Times No ...

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...