Abstract: Facial expressions in disciplines including psychology, human-computer interaction, and computer vision. In this study, we introduce a unique method for detecting facial emotions utilizing ...
RDD2020 dataset comprising 26,336 road images from India, Japan, and the Czech Republic with more than 31,000 instances of road damage. Here we consider a subset of the dataset, i.e. the images from ...
OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...
The integration of Artificial Intelligence (AI) into visual inspection represents a paradigm shift, moving beyond human limitations to achieve unprecedented levels of accuracy, efficiency, and ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
The Crypto24 ransomware group has been using custom utilities to evade security solutions on breached networks, exfiltrate data, and encrypt files. The threat group's earliest activity was reported on ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.
Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer
Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.
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