AINeutralarXiv – CS AI · 10h ago4/10
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S2P-Net: A Spectral-Spatial Polar Network for Rotation-Invariant Object Recognition in Low-Data Regimes
S2P-Net introduces a compact deep learning architecture designed to achieve rotation-invariant object recognition without requiring data augmentation, with comparisons to traditional CNN approaches. This appears to be an early-stage academic work focused on improving neural network efficiency in low-data scenarios.