A mobile application will enable periodic road inspections through geo-tagged video capture, with AI used to detect potholes ...
Abstract: The rapid advancement of generative models like Generative Adversarial Networks (GANs) has contributed significantly to the creation of deep-fake videos. These synthetic videos pose serious ...
Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...
Abstract: Anaemia is a condition marked by an insufficient number of healthy red blood cells, often initially indicated through visible conjunctival pallor. Conventional diagnostic approaches rely on ...
Abstract: Multimodal large language models (MLLMs) have demonstrated strong language understanding and generation capabilities, excelling in visual tasks like referring and grounding. However, due to ...
From scanning drone footage to shaping real-time targeting decisions, the Pentagon’s Project Maven has evolved into a central ...
Abstract: In recent years, malware has become more prevalent just as the internet has become more complex and ubiquitous. Malware is expanding at an alarming rate, and PDF documents are a prominent ...
Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...
Abstract: Remote sensing platforms provide crucial data for applications such as urban planning and traffic monitoring. However, detecting small objects remains challenging due to low resolution, ...
Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
Abstract: Small object detection in UAV aerial imagery presents significant challenges due to limited pixel coverage and complex backgrounds. This paper introduces DPLR-DETR (Dynamic Position Large ...
Abstract: Space objects in Geostationary Earth Orbit (GEO) present significant detection challenges in optical imaging due to weak signals, complex stellar backgrounds, and environmental interference.
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