Let me save you some time on why: >While VGG16 has 5 pooling operations in its 16 layers, Resnet50 has only one pooling operation among its 50 intermediate lay

Let me save you some time on why: >While VGG16 has 5 pooling operations in its 16 layers, Resnet50 has only one pooling operation among its 50 intermediate layers and InceptionResnetV2 has only 5 among its intermediate 134 layers. Aka being computationally cheap with pooling causes weird sampling issues. The paper has a terrible pompous title that's just wrong. Modern CNNs generalize wonderfully on small translations. They just managed to break a couple of old CNNs and go on to claim they broke AI research or something.