Recently, contrastive learning approaches have achieved significant empirical success in representation learning for multivariate time series classification (MTSC). A key component of contrastive ...

OV-DEIM is a real-time DETR-style framework for open-vocabulary object detection. It extends DEIMv2 to the open-vocabulary setting and achieves state-of-the-art performance on open-vocabulary ...

Abstract: The performance of deep learning methods is dependent on the quality and quantity of the available training data, in particular for physiological time series data which is scarce and noisy.

Travis Brashears, Cameron Ramos, and Serena Grown-Haeberli began collaborating at SpaceX, developing optical communications links that keep thousands of Starlink internet satellites in constant ...