Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan and Andrew Zisserman submitted Very Deep Convolutional Networks for Large-Scale Image Recognition to arXiv on September 4, 2014. The paper evaluates convolutional-network depth for large-scale image recognition, using very small 3x3 convolution filters and reporting networks with 16 to 19 weight layers.