IEEE

LiDAttack: Robust Black-Box Attack on LiDAR-Based Object Detection

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, ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
IEEE

From Weak Textures to Dense Arrangements: Leveraging Prior Knowledge for Small-Object Detection in Remote Sensing Images

Abstract: Detecting small objects in remote sensing images (RSIs) is a significant challenge due to their weak texture, scale variations, and dense spatial arrangements. Existing approaches often ...
C&EN

Phenolic Formaldehyde Resin-Based Nano-objects via a Modification-Induced Cooperative Assembly Process Using Poly(4-hydroxystyrene) as the Core-Forming Block

State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...