Abstract: This paper proposes a novel hybrid framework that integrates machine learning (ML) techniques with Sequential Monte Carlo Simulation (SMCS) to enhance the reliability assessment of modern ...

TART is a package for training and deploying task-agnostic reasoning modules which can be composed with arbitrary foundation models to improve in-context learning peformance for classification tasks.

Abstract: The applied research in remote sensing images has been pushed by convolutional neural network (CNN). Because of the fixed size of the perceptual field, CNN is unable to model global semantic ...