synthetic data

The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task EMNLP 2018 The University of Helsinki submissions to the IWSLT 2018 low-resource translation task EMNLP 2018 Understanding Back-Translation at Scale EMNLP 2018 Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains CVPR 2018 Adversarial Adaptation of Synthetic or Stale Data ACL 2017 Data Augmentation for Low-Resource Neural Machine Translation ACL 2017 Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing CVPR 2017 Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters CVPR 2017 Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences CoRL 2017 Learning Detailed Face Reconstruction From a Single Image CVPR 2017 Learning From Synthetic Humans CVPR 2017 Learning to Discover Sparse Graphical Models ICML 2017 Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks CVPR 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017 Differentially Private Data Releasing for Smooth Queries JMLR 2016 Domain Separation Networks NeurIPS 2016 Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation Interspeech 2016 Understanding Real World Indoor Scenes With Synthetic Data CVPR 2016 Virtual Worlds as Proxy for Multi-Object Tracking Analysis CVPR 2016 Learning Deep Object Detectors From 3D Models ICCV 2015 Learning Scene-Specific Pedestrian Detectors Without Real Data CVPR 2015 Semantic Pose Using Deep Networks Trained on Synthetic RGB-D ICCV 2015 Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014 Stochastic Neighbor Compression ICML 2014 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010