no code implementations • 19 May 2017 • Sheng Y. Lundquist, Melanie Mitchell, Garrett T. Kenyon
We show that replacing a typical supervised convolutional layer with an unsupervised sparse-coding layer within a DCNN allows for better performance on a car detection task when only a limited number of labeled training examples is available.