Abstract: Synthetic aperture radar (SAR)-based ship detection has become an indispensable technique for applications in maritime surveillance, oceanic defense systems, and marine resource assessment.
EdgeRefNet: An Edge-Guided Refinement Network for Building Change Detection in Remote Sensing Images
Abstract: Building change detection (BCD) has achieved remarkable progress with deep learning, yet precise boundary delineation remains a challenging problem. Existing methods often produce blurry ...
A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal Confluence ...
Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...
Forbes contributors publish independent expert analyses and insights. Davey Winder is a veteran cybersecurity writer, hacker and analyst. This voice experience is generated by AI. Learn more. This ...
Field-Programmable Gate Arrays (FPGAs) offer a flexible hardware substrate for accelerating image edge detection, combining high parallelism with reconfigurability to meet real-time throughput and low ...
Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Edge detection constitutes a core operation in image processing, aimed at identifying significant transitions in pixel intensity that correspond to object boundaries and scene structure. Classical ...
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