High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm

2014.

Cited by: 1|Views80

Abstract:

abstract describes a modified ConvNet architecture with a ne w unsupervised/supervised train- ing procedure that can reach 67.2% accuracy on Caltech-101. This work,explores several architectural designs and training methods,and studies their effect on the accuracy for object recognition. The convolutional network under consideration takes...More

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