Transcription of OverFeat: Integrated Recognition, Localization and ...
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OverFeat: Integrated Recognition, Localization and ...
[ ] 24 Feb 2014 overfeat : Integrated recognition , Localization and Detectionusing Convolutional NetworksPierre SermanetDavid EigenXiang ZhangMichael MathieuRob FergusYann LeCunCourant Institute of Mathematical Sciences, New York University719 Broadway, 12th Floor, New York, NY present an Integrated framework for using ConvolutionalNetworks for classi-fication, Localization and detection . We show how a multiscale and sliding windowapproach can be efficiently implemented within a ConvNet. Wealso introduce anovel deep learning approach to Localization by learning topredict object bound-aries. Bounding boxes are then accumulated rather than suppressed in order toincrease detection confidence. We show that different taskscan be learned simul-taneously using a single shared network. This Integrated framework is the winnerof the Localization task of the ImageNet Large Scale Visual recognition Challenge2013 (ILSVRC2013) and obtained very competitive results for the detection andclassifications tasks.
arXiv:1312.6229v4 [cs.CV] 24 Feb 2014 OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks Pierre Sermanet David Eigen
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