Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

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A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Note: We have recently found that Dora-VAE can specify tokens of any length during inference, even if this length has not been seen during training. During inference, you could use a latent code ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

A new technical paper titled “Generative AI for Analog Integrated Circuit Design: Methodologies and Applications” was published by researchers at McMaster University. “Electronic Design Automation ...

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...

Objective: This study aims to develop an unsupervised automated method for detecting high-frequency oscillations (HFOs) in intracranial electroencephalogram (iEEG) signals, addressing the limitations ...

Abstract: Machine learning algorithms are driven by data. However, the quantity and quality of data in industries are limited due to multiple process constraints. Generating artificial data and ...

Abstract: Federated Learning is a promising paradigm for sharing Cyber Threat Intelligence (CTI) without privacy issues by leveraging the cross-silos data in Software Defined Networking (SDN). However ...