Meet MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Recently, techniques focusing on learning content features—specifically, features holding the information that lets us identify and discriminate objects—have dominated self-supervised learning in vision. Most techniques concentrate on identifying broad characteristics that perform well in tasks like item categorization or activity detection in films. Learning… Read More »Meet MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Aneesh Tickoo Artificial Intelligence Category – MarkTechPost