Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive learning ...

Abstract: 3D scene reconstruction represents a pivotal domain within computer vision, involving a diverse array of techniques ranging from classical geometry-driven approaches to modern deep ...