Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
Abstract: Camouflaged object detection (COD) aims to discover objects that are seamlessly embedded in the environment. Existing COD methods have made significant progress by typically representing ...
The AI Metacognition Toolkit provides research-grade tools for understanding when and how AI models exhibit metacognitive behaviors - particularly the ability to recognize evaluation contexts and ...
A team of astronomers claims it has observed the birth of an unusual cosmic object. In an observation of a gamma-ray captured in 2023, they believe they have detected a signal that is comparable to ...
Python runtime keeps tracks of and garbage collects objects using reference counting. This means that at any given time there are many objects alive in the Python runtime each holding references to a ...
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