Abstract: Remote sensing models in incremental learning (IL) scenarios often need to contend with both the newly emerged classes and cross-domain feature shifts, a combined challenge that we name it ...
Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
Abstract: Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have ...
Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
Abstract: Waste sorting serves as a highly effective approach to reduce waste at the source and promote resource recycling. It can significantly decrease the amount of waste needing final disposal ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...
Pharr, Texas (CNN) — Tejano singer Bobby Pulido will win the Democratic primary for Texas’ 15th Congressional District, CNN projects, defeating emergency room physician Ada Cuellar. Pulido will face ...
Abstract: The Land Use (LU) classification of remote sensing (RS) images has broad applications in various fields. In recent years, hybrid CNN-Transformer models have been widely applied to the LU ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...