OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Paper summary ## Terms * Classification: Assign one label to one image * Localization: Many object, there might be multiple instances of the same class. * Detection: One big dominant object which has to be found and to be classified. Pretty much first classification and then finding a bounding box for the class within the image ## Evaluation * ILSVRC2013, localization task * ILSVRC2013, detection task * ILSVRC2013, classification task ## Implementations * https://github.com/sermanet/OverFeat
arxiv.org
arxiv-sanity.com
scholar.google.com
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet and David Eigen and Xiang Zhang and Michael Mathieu and Rob Fergus and Yann LeCun
arXiv e-Print archive - 2013 via Local arXiv
Keywords: cs.CV

more

Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About