Masked Autoencoder

Meta AI researcher Joseph Scharpf explains Joint-Embedding Predictive Architecture (JEPA), a self-supervised learning approach that predicts missing regions' representations rather than pixel values. …

Researchers introduced XSSR, a cross-domain self-supervised framework that selects representative medical images for annotation, reducing labeling effort while maintaining segmentation accuracy. The m…

Researchers have developed CoAD, a new framework that unifies classification and reconstruction approaches to improve time series anomaly detection. The framework uses a classification module to gener…