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Found 5 papers, 2 papers with code
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
Bayesian deep learning and conformal prediction are two methods that have been used to convey uncertainty and increase safety in machine learning systems.
Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks
In this study, toward addressing the over-confident outputs of existing artificial intelligence-based colorectal cancer (CRC) polyp classification techniques, we propose a confidence-calibrated residual neural network.
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
We describe a physics-based method that simulates human bodies at rest in a bed with a pressure sensing mat, and present PressurePose, a synthetic dataset with 206K pressure images with 3D human poses and shapes.
3D human pose and shape estimation
3D Human Shape Estimation
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Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Assistive Gym models a person's physical capabilities and preferences for assistance, which are used to provide a reward function.
3D Human Pose Estimation on a Configurable Bed from a Pressure Image
In this work, we present two convolutional neural networks to estimate the 3D joint positions of a person in a configurable bed from a single pressure image.
