Călin-Adrian Popa

JEPADepth: Masked Predictive Representation Learning for Self-Supervised Monocular Depth Estimation

Self-supervised monocular depth estimation typically relies on photometric reconstruction losses that couple depth, pose, and appearance assumptions. In this paper, we propose JEPADepth, a self-supervised monocular depth framework that incorporates a complementary training objective inspired by Image Joint-Embedding Pr...