A neurosymbolic model augments Swin Transformers with focal sets and fuzzy logic to produce calibrated hierarchical image classifications that respect logical constraints.
The inaturalist species classification and detection dataset
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MM++ fuses entropy-selected intermediate layers with terminal features via Ledoit-Wolf regularized covariance for scale-invariant unsupervised OOD detection across architectures.
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A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
A neurosymbolic model augments Swin Transformers with focal sets and fuzzy logic to produce calibrated hierarchical image classifications that respect logical constraints.