In this paper we present a scalable dataflow hard- ware architecture optimized for the computation of general- purpose vision algorithms—neuFlow—and a dataflow compiler—luaFl...
C. Farabet, B. Martini, B. Corda, P. Akselrod, E. ...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...