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Data Augmentation

487 papers

Papers per year

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Papers

A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Data Augmentation for Low-Resource Neural Machine Translation ACL 2017
What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation CVPR 2017
AGA: Attribute-Guided Augmentation CVPR 2017
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NIPS 2016
PatchBatch: A Batch Augmented Loss for Optical Flow CVPR 2016
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling INTERSPEECH 2016
Transformation Pursuit for Image Classification CVPR 2014