Alapfogalmak
Objects are learned through prediction, mimicking human infant abilities.
Statisztikák
"Our model outperforms all compared models on both metrics (Table 3)."
"Object viewing angles are better estimated (correlation r = 0.86) than distances (r = 0.51)."
"OPPLE also learns to infer depth (distance of pixels from the camera)."
"We trained and tested a version of our network in which the rules of rigid body motion and self-motion induced apparent motion are replaced by neural networks with two FC layers."
Idézetek
"Objects are treated as latent causes for efficient predictions."
"Prediction error guides the brain to improve segmentation accuracy."
"OPPLE outperforms all compared models on both metrics."