Abstract: Benefiting from the powerful feature extraction and feature correlation modeling capabilities of convolutional neural networks (CNNs) and Transformer models, these techniques have been ...
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 ...
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 ...
PORTLAND, Ore. -- Chase Johnston's first 2-point basket of the season was the biggest of his college career. The sharpshooting guard of No. 12 seed High Point had gone 0-for-4 from 2-point range until ...
Abstract: Aspect Sentiment Triplet Extraction (ASTE) is an essential task in fine-grained opinion mining and sentiment analysis that involves extracting triplets consisting of aspect terms, opinion ...
Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...
Abstract: Infrared small target detection (IRSTD) is the challenging task of identifying small targets with low signal-to-noise ratios in complex backgrounds. Traditional methods in the complex ...
Abstract: Current methods for remote sensing image dehazing confront noteworthy computational intricacies and yield suboptimal dehazed outputs, thereby circumscribing their pragmatic applicability. To ...
Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
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