Aamer Abdul Rahman

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning

Batch Normalization is a staple of computer vision models, including those employed in few-shot learning. Batch Normalization layers in convolutional neural networks are composed of a normalization step, followed by a shift and scale of these normalized features applied via the per-channel trainable…