262 citations · 270 across the 5 of their papers we have counts for
Showing 2018 · cs.CVShow all
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cs.CV2018★ 7 cited
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay, Aayush Prakash, David Acuna +7
We present a system for training deep neural networks for object detection using synthetic images. To handle the variability in real-world data, the system relies upon the techniqu…
cs.CV2018★ 1 cited
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay, Thang To, Stan Birchfield
We present a new dataset, called Falling Things (FAT), for advancing the state-of-the-art in object detection and 3D pose estimation in the context of robotics. By synthetically co…