Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators

Hanlin Mo, Peihong Lei, You Hao +1

Achieving rotational invariance in deep neural networks without data augmentation is a research hotspot. Intrinsic invariance enables features to capture targets' inherent properti…