RICH FEATURE HIERARCHIES FOR ACCURATE OBJECT DETECTION AND SEMANTIC SEGMENTATION Ross Girshick, Jeff Donahue, Trevor Darrell, Jitandra Malik (UC Berkeley)
Vision and Multimedia Reading Group: DeCAF: a Deep Convolutional Activation Feature for Generic Visual Recognition
CAPTCHA and Convolutional neural network
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION does size matter? Karen Simonyan Andrew Zisserman.
Face Representations Learning by Deep Models Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong.
imagenet classification
ECE 6504: Deep Learning for Perception Dhruv Batra Virginia Tech Topics: –Toeplitz Matrix –1x1 Convolution –AKA How to run a ConvNet on arbitrary sized.
Deep Belief Networks
