text: Figure 6b shows that the V-JEPA feature predictions 
  are indeed grounded, and exhibit spatio-temporal con- 
  sistency with the unmasked regions of the video. Specif- 
  ically, the samples in Figure 6b show that the V-JEPA 
  predictor correctly captures positional uncertainty and 
  produces a variety of visual objects at various locations 
  with consistent motion. Some of the samples also demon- 
  strate an understanding of object-permanence, as the 
  visual objects remain consistent after partial occlusion. 
  
  × 
  
  Similar observations hold on SSv2. The performance 
  of the largest V-JEPA model on SSv2 drops by 13.9% 
  
  9 