The JEPA Predictor: A Transferable Operator for Occluded Feature Completion
The study introduced a trainable JEPA predictor that acts as a 'portable operator' for completing occluded features across different image encoders. By using a single linear projection, this frozen predictor can recover accuracy lost due to occlusion when paired with any other frozen encoder, proving the completion capability is independent of the specific feature geometry.