Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity and scarcity. Traditional augmentation improves ...
Abstract: Remote sensing (RS) images are evolving daily for their applications in surveillance, planned urbanization, law enforcement, climate change detection, agriculture, and monitoring ...
Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...
Abstract: The rapid growth of Internet of Things (IoT) devices in critical applications, such as healthcare and autonomous vehicles, necessitates ultra-low latency and high reliability. The rapid ...
[2025-10-18]: The code and models have been released! We have improved the training resolution of the models and achieved better results compared to the original paper. Both old weights (for ...