Overconfidence and underconfidence in machine learning classifiers is measured by calibration: the degree to which the probabilities predicted for each class match the accuracy of the classifier on that prediction. How one measures calibration remains a challenge: expected calibration error, the most popu...
Measurement of object recognition (OR) ability could predict learning and success in real-world settings, and there is hope that it may reduce bias often observed in cognitive tests. Although the measurement of visual OR is not expected to be influenced by the language of participants or the la...
We distinguish the provided calibration methods into non-parametric and parametric methods. Non-parametric calibration methods take a probability distribution as input and apply recalibration in terms of quantiles on the cumulative (CDF). This leads to a recalibrated probability distribution that, however...
recovery are difficult and expensive; there are policy restrictions in the area where radioactive sources are used; Government declaration procedures are cumbersome; Maintenance is frequent and complicated, and regular and uninterrupted calibration is required et al. Based on the above shortcomings, some...
In addition, the measurement model could be enhanced in subsequent studies with a calibration system in which objective and subjective measurements are harmonized and optimized in relation to each other.Data availability Derived data and materials supporting the findings of this study are available from...
distinguish antenna image pixels from background pixels; an antenna candidate box module for identifying and detecting the antenna image, acquiring an antenna candidate box and determining an antenna calibration box therefrom; and an antenna downtilt angle measuring module for measuring an antenna ...
Presently, smartphone-based machine vision and close-range photogrammetry technology have improved the degree of automation in image-based DBH measurements. Reference sticks and calibration poles are rarely used in field measurements. However, conversions between different coordinate systems (e.g., image ...
After calibration, stereo matching is performed on the left and right images to determine the disparity for each pixel, representing the Network training condition and evaluation metrics To verify the accuracy of the YOLOv8-GB model, rebar images were collected under various working conditions, as ...
In 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1–5. https://doi.org/10.1109/I2MTC48687.2022.9806658 Liberali, V., Cherchi, F., Disingrini, L., Gottardi, M., Gregori, S., & Torelli, G. (2003). A digital self-calibration circuit for ...
Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330–1334. https://doi.org/10.1109/34.888718 Article Google Scholar Zhu Z, Wang X, Zhou F, Chen Y (2020) Calibration method for a line-structured light vision sensor based on ...