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

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
General Classification 44 10.84%
Image Classification 44 10.84%
Super-Resolution 23 5.67%
Object Detection 23 5.67%
Semantic Segmentation 17 4.19%
Image Super-Resolution 17 4.19%
Quantization 13 3.20%
Object Recognition 10 2.46%
Style Transfer 6 1.48%

Categories