Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and ...
Defining and evaluating openness in AI requires examining both the model and system stack, including interfaces, safeguards, ...
Background/Aims Retinopathy of prematurity (ROP) zone classification guides disease severity assessment and Early Treatment ...
New research finds that piling on elaborate and complex charts can make people trust biased AI decisions, even when they are ...
Abstract: Adversarial attacks present a severe threat to the trustworthiness of remote sensing uncrewed systems. Existing detection methods are mostly limited to binary classification, lacking ...
CLAP (Contrastive Language-Assembly Pre-training) is a framework that learns binary code representations through natural language supervision. By aligning binary code with natural language ...
Abstract: Recent advances in synthetic data have enabled the generation of images with such high quality that human beings cannot distinguish the difference between real-life photographs and ...
Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...
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