Search Results for author:
Found 4 papers, 2 papers with code
Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection
Over the past few years there has been major progress in the field of synthetic data generation using simulation based techniques.
Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection
This shows that synthetic test sets can efficiently detect a model's weak spots and overcome limitations of real test set in terms of quantity and/or diversity.
Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic Data
We generate the data using a domain randomization technique that also simulates other photorealistic objects in the scene, known as distraction objects.
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
We present an algorithm for registration between a large-scale point cloud and a close-proximity scanned point cloud, providing a localization solution that is fully independent of prior information about the initial positions of the two point cloud coordinate systems.
