Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

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One aspect of the present invention proposes a method of predicting meteorological information by using an artificial deep neural network. The present invention according to one example focuses on image processing, specifically on fusing a plurality of ima ...

Accurately and rapidly simulating the hysteretic behavior of double skin composite wall (DSCW) under earthquake loads enhance the efficiency of seismic performance assessments for high-rise steel-concrete composite structures. The application of artificial ...

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Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

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Meteorological information prediction using images from webcams

Machine learning-aided hysteretic response prediction of double skin composite wall under earthquake loads

Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures

Emotion information recovery potential of wav2vec2 network fine-tuned for speech recognition task

Machine Learning-assisted Sustainable Mix Design of Waste Glass Powder Concrete with Strength-cost-co2 Emissions Trade-offs

Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM

VIVALDI: steel billet tracking with advanced computer vision

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