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Found 3 papers, 1 papers with code
Learning 3D object-centric representation through prediction
As part of human core knowledge, the representation of objects is the building block of mental representation that supports high-level concepts and symbolic reasoning.
Implicit Equivariance in Convolutional Networks
Several approaches exist that make CNNs equivariant under other transformation groups by design.
Learning to perceive objects by prediction
Infants develop the notion of objects without supervision.
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