Rethinking Spatial Feature Processing: The Network-in-Network Architecture
Traditional convolutional pipelines such as LeNet, AlexNet, and VGG adhere to a consistent structural blueprint: spatial hierarchies are extracted via stacked convolution and pooling operations, followed by feature flattening and classification through dense layers. While expanding and deepening these modules improved representational capacity, ...
Posted on Sun, 24 May 2026 20:41:16 +0000 by stephenjharris