Abstract: Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal ...
Abstract: Accurate acquisition of 3-D human joint poses holds significant implications for tasks such as human action recognition. Monocular single-frame 2-D -to-3-D pose estimation focuses on ...
Abstract: After having introduced a comprehensive general solution framework for few-shot learning (FSL) classification problems, we provide details of the data augmentation schemes and the learning ...
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 ...
Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
Abstract: The promotion of the HEVC standard has significantly alleviated the burden of network transmission and video storage. However, its inherent complexity and data dependencies pose a ...
Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
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 ...
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: This paper presents an absolute capacitive rotary encoder using a sample-and-hold demodulator (SHD) to reduce interference between sine and cosine channels. The capacitive encoder measures ...
Abstract: Distributed acoustic sensing (DAS) has been considered a breakthrough technique in seismic data collection owing to its advantages in acquisition cost and accuracy. However, the existence of ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results