AI RESEARCH
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
arXiv CS.LG
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ArXi:2505.13289v5 Announce Type: replace Real world data often exhibits unknown, instance-specific symmetries that rarely exactly match a transformation group $G$ fixed a priori. Class-pose decompositions aim to create disentangled representations by factoring inputs into invariant features and a pose $g\in G$ defined relative to a