An unsupervised model integrates group homomorphism to segment objects and map relative motions like approaching or receding into a one-dimensional additive latent space from unlabeled dynamic images.
Learning conditionally independent transformations using normal subgroups in group theory
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Unsupervised Learning of Inter-Object Relationships via Group Homomorphism
An unsupervised model integrates group homomorphism to segment objects and map relative motions like approaching or receding into a one-dimensional additive latent space from unlabeled dynamic images.