Abstract: Hyperspectral image (HSI) classification faces significant challenges due to high-dimensional spectral redundancy and complex spatial-spectral dependencies. While existing MambaHSI models ...
OSDMamba: Enhancing Oil Spill Detection From Remote Sensing Images Using Selective State-Space Model
Abstract: Semantic segmentation is commonly used for oil spill detection (OSD) in remote sensing images. However, the limited availability of labeled oil spill samples and class imbalance present ...
Abstract: In this work, we present a temperature calibration readout circuit for RRAM-based analog computing-inmemory (ACIM), which includes i) a thermal-state sensible sampling circuit with a compact ...
Abstract: Text-driven human motion generation has attracted considerable critical attention in recent years. The task requires generating movements that are diverse, natural, and comfortable in ...
Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...
Abstract: The purpose of pansharpening method is to combine the spectral-spatial information from both the multi-spectral images (MS) and the Panchromatic (PAN ...
Abstract: The fuel cell propulsion system is one of the potential development directions for future green aviation. Due to the slow dynamic response of fuel cells, they need to be used together with ...
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
Abstract: Due to the various limitations of the electromechanical transient detailed model of wind farms in the calculation of the safety and stability of large power grids, such as computing ...
Abstract: In this letter, we propose a novel lightweight X-ray image contraband segmentation network, XSNet, which integrates State Space Models (SSM) with Convolutional Neural Networks (CNNs) to ...
Abstract: In this work, we propose a novel high-order state space model embedded within an interpretable unfolding algorithm for MRI reconstruction, marking the first adaptation of the Mamba framework ...
Abstract: As a selective state space model, Mamba exhibits outstanding performance and efficiency in sequence modeling tasks. Therefore, in this letter, we use Mamba as the fundamental network ...
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