From the 1 of 140 linked papers with an AI index.
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Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala +1
Pedestrian detection is a problem of considerable practical interest. Adding to the list of successful applications of deep learning methods to vision, we report state-of-the-art a…
No More Pesky Learning Rates
Tom Schaul, Sixin Zhang, Yann LeCun
The performance of stochastic gradient descent (SGD) depends critically on how learning rates are tuned and decreased over time. We propose a method to automatically adjust multipl…
Convolutional Neural Networks Applied to House Numbers Digit Classification
Pierre Sermanet, Soumith Chintala, Yann LeCun
We classify digits of real-world house numbers using convolutional neural networks (ConvNets). ConvNets are hierarchical feature learning neural networks whose structure is biologi…
Fast approximations to structured sparse coding and applications to object classification
Arthur Szlam, Karol Gregor, Yann LeCun
We describe a method for fast approximation of sparse coding. The input space is subdivided by a binary decision tree, and we simultaneously learn a dictionary and assignment of al…
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clément Farabet, Camille Couprie, Laurent Najman +1
Scene parsing, or semantic segmentation, consists in labeling each pixel in an image with the category of the object it belongs to. It is a challenging task that involves the simul…