Background & Motivation Background: Domain Generalized Object Detection (DGOD) aim to train on one or few source domains and generalize to unseen target domains. Mainstream approaches include learning ...

Abstract: Intelligent fault diagnosis of rolling bearings has advanced significantly with the increase in labeled industrial data. However, the limited data for unknown working conditions poses a ...

This is an inference framework for the RWKV large language model implemented purely in native PyTorch. The official native implementation is overly complex and lacks extensibility. Let's join the f… ...

Abstract: Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning ...