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Found 4 papers, 2 papers with code
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components
A deep learning segmentation of the pins is performed and the inspection pose is found by simulation.
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
The use of synthetic training data avoids this data collection problem, but a configuration of the training procedure is necessary to overcome the domain gap problem.
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
This paper introduces a novel network architecture for the classification of large-scale point clouds.
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization
While the use of synthetic training data prevents the need for manual annotation, there is currently a large performance gap between methods trained on real and synthetic data.
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