Convolutional Neural Networks

VGG is a classical convolutional neural network architecture. It was based on an analysis of how to increase the depth of such networks. The network utilises small 3 x 3 filters. Otherwise the network is characterized by its simplicity: the only other components being pooling layers and a fully connected layer.

Image: Davi Frossard

Source: Very Deep Convolutional Networks for Large-Scale Image Recognition


Paper Code Results Date Stars


Task Papers Share
Image Classification 60 9.04%
General Classification 43 6.48%
Super-Resolution 34 5.12%
Object Detection 27 4.07%
Classification 27 4.07%
Image Super-Resolution 23 3.46%
Test 21 3.16%
Semantic Segmentation 20 3.01%
Quantization 18 2.71%