This article discusses a new release of a multimodal Hunyuan Video world model called ‘HunyuanCustom'. The new paper's ...

Abstract: Since synthetic aperture radar (SAR) images have complex noise and have no clean reference images, SAR image denoising is very challenging. With the development of deep learning, several ...

In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder ... images. Subsequently, we employ a lightweight ...

from the drug-disease biomedical networks to encode drugs and diseases. A self-attention mechanism is utilized to extract neighbor feature information. It incorporates two dual-feature extraction ...

Figure 2. Multi-Modal Data Encoding and Fusion Process. This diagram illustrates the hierarchical stages of the Multi-Modal Data Encoder (MMDE), emphasizing local and global feature extraction and ...

Unlike conventional approaches that distribute image information evenly across all tokens, this method arranges tokens hierarchically. The earliest tokens encode high-level visual features ... by ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

A new collaboration between University of California Merced and Adobe offers an advance on the state-of-the-art in human ...