VISA learns view-invariant object representations by aggregating probabilistic slots across multiple unlabeled viewpoints, with an identifiability analysis up to affine and permutation equivalence.
Function classes for identifiable nonlinear independent component analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Identifiable Object Representations under Spatial Ambiguities
VISA learns view-invariant object representations by aggregating probabilistic slots across multiple unlabeled viewpoints, with an identifiability analysis up to affine and permutation equivalence.