# How to deal with different sized input images in CNNs
@jitsev1:
Here historical overview over classical papers relevant for global pooling layer and network architectures where the technique to avoid flattening + FC layer was used in the beginnings. ResNet is also using this in most modern implementations. The approach is - no more flatten operation, global pooling layer (GlobalAveragePooling2D in Keras/TF, adaptive pooling in PyTorch) instead.
