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Found 6 papers, 1 papers with code
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy.
Explainable Predictive Maintenance
We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
3D Reconstruction and Alignment by Consumer RGB-D Sensors and Fiducial Planar Markers for Patient Positioning in Radiation Therapy
METHODS: The proposed method relies on a 3D reconstruction approach that fuses, in real-time, artificial and natural visual landmarks recorded from a hand-held RGB-D sensor.
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers
From a video sequence showing a rigid set of planar markers recorded from multiple cameras, the proposed method is able to automatically obtain the three-dimensional configuration of the markers, the extrinsic parameters of the cameras, and the relative pose between the markers and the cameras at each frame.
Detection of Binary Square Fiducial Markers Using an Event Camera
We detect the edges of the markers by detecting line segments in an image created from events in the current packet.
Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy
Up to our knowledge, this is the first framework that can be employed for mobile interactive AR to guide patient positioning.
