Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper...
We present SpecAugment, a simple data augmentation method for speech\nrecognition. SpecAugment is applied directly to the feature inputs of a neural\nnetwork (i.e., filter bank ...
Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection and...
Previous work on action recognition has focused on adapting hand-designed local features, such as SIFT or HOG, from static images to the video domain. In this paper, we propose ...
h-index: Number of publications with at least h citations each.