Abstract: Aiming to mitigate image distortion caused by steganography algorithms at high-capacity information embedding and enhance the steganalysis resistance capability of generated stego images, ...
Abstract: The stroke lesion volume is a key radiologic measurement for assessing the prognosis of acute ischemic stroke (AIS) patients, which is challenging to be automatically measured on noncontrast ...
This repository contains a compact project implementation for recognizing a target person in a homogeneous crowd and estimating the target person's walking speed from video-frame bounding boxes. The ...
YouTube has officially altered the outlook for digital video creators and viewers by transitioning from a voluntary AI disclosure policy to a mandatory, automated detection system. Under the ...
As AI video models become more powerful, YouTube is no longer solely relying on creators to label their AI videos — it will now automatically label videos on their behalf. The company announced on ...
We've heard consistently from our community that they value transparency when it comes to generative AI content. That’s why since 2024, we've been labeling content when creators disclose they've used ...
Multi-label image annotation remains a challenging task due to highly imbalanced label distributions, co-occurring semantic concepts, and the presence of rare or noisy annotations. To address these ...
To overcome this challenge, the authors developed a novel iISM system that synergistically combines the advantages of iSCAT and ISM. The former enables high-sensitivity, label-free detection of ...
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