IEEE

Space object classification using deep neural networks

Abstract: Space object classification is desired for space situational awareness to be able to discern resident space object (RSO) characteristics, behaviors, and perspective changes. Due to the ...
GitHub

QuPath Extension: Gated Object Classifier

Run a saved QuPath object classifier on a chosen subset of objects, instead of every object in the image. You pick the subset by class, by measurement value, by what you have selected in the viewer, ...
IEEE

Event Camera Object Detection Using Bayesian Neural Network-Conditional Variational Autoencoders and Improved YOLOv10

Abstract: We conducted an in-depth investigation into the impact of Conditional Variational Autoencoders (CVAE) and Bayesian Neural Networks (BNN) on high dynamic range (HDR) image reconstruction. A ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
Futurism

Astronomer Suspects Mysterious Object Is Up to No Good While It’s Hidden Behind the Sun: “If You Want to Take a Vacation, Take It Before Then”

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Scientific Research Publishing

Adeodato, P., & Melo, S. (2022). A Geometric Proof of the Equivalence between AUC_ROC and Gini Index Area Metrics for Binary Classifier Performance Assessment. In 2022 ...

ABSTRACT: This paper deals with three traditional measures of concentration: (Corrado) Gini coefficient, adjusted Gini coefficient, and AUC. These metrics are popular methods in assessing the ...
Futurism

Four Telescopes Confirm There’s Something Deeply Strange About the Mysterious Object Headed Into the Solar System

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