Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.
Add Yahoo as a preferred source to see more of our stories on Google. Taylor Rehmet is seen in Fort Worth, Texas, on January 14. - Desiree Rios/The New York Times/Redux Democrats notched another ...
Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
First lady Melania Trump and Amazon MGM Studios face a high-stakes test this week with the release of the “Melania” documentary: Will the multimillion-dollar investment pay off? Approximately $35 ...
Abstract: Street view (SV) images provide valuable supplementary data for characterizing the functional attributes of land use types, improving urban land use classification based on ...
NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” somebody might beat him up. Cuomo accused Jennings of acting like a “bully” ...
CNN remains a key financial contributor to Warner Bros. Discovery‘s linear TV business, and the company expects the news network’s revenue to grow top-line revenue over the next five years — on the ...
Serverless service that generates dynamic Open Graph images that you can embed in your <meta> tags. For each keystroke, headless chromium is used to render an HTML ...
Abstract: The “others” category in multimodal remote sensing images is characterized by high intraclass variability. Therefore, the existing lightweight semantic segmentation models struggle with this ...
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