Abstract: Benefiting from the powerful feature extraction and feature correlation modeling capabilities of convolutional neural networks (CNNs) and Transformer models, these techniques have been ...
VideoPrism is a general-purpose video encoder designed to handle a wide spectrum of video understanding tasks, including classification, retrieval, localization, captioning, and question answering. It ...
Abstract: To boost autonomous driving safety even further, autonomous vehicles must be able to predict future trajectory states, allowing them to grasp their surroundings in real time, just like a ...
Abstract: Predicting unobservable or missing weights over links on various real-world networks is of fundamental scientific significance in disparate disciplines like sociology, biology, and physics, ...
Abstract: Owing to the limitations of hyperspectral optical imaging, hyperspectral images (HSIs) have a dilemma between spectral and spatial resolutions. The hyperspectral and multispectral image (HSI ...
Abstract: Elastic full-waveform inversion (FWI) can construct high-resolution P-wave velocity, S-wave velocity, and density models in complex geological settings. However, several factors make the ...
Abstract: The development of satellite and airborne sensor technologies has resulted in a wealth of multisource remote sensing images, which have great potential for precise analysis and monitoring of ...
NANTONG, JIANGSU, CHINA, March 24, 2026 /EINPresswire.com/ — In the rapidly evolving landscape of digital broadcasting and professional AV streaming, the hardware ...
NANTONG, JIANGSU, CHINA, March 20, 2026 /EINPresswire.com/ — The broadcast and professional AV industry is currently undergoing a seismic shift from specialized ...
NANTONG, JIANGSU, CHINA, March 20, 2026 /EINPresswire.com/ — The global surge in high-definition video consumption, real-time remote collaboration, and IoT ...
Abstract: To address the shortcomings of existing knowledge extraction techniques in semantic fusion, variable-length processing, and long tail discrimination, this paper proposes a method of sentence ...
Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
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