IEEE

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 ...
IEEE

On the Exploration of Graph State-Space Models for Spatio-Temporal Renewable Energy Forecasting

Abstract: In the face of increasing demand for accurate energy forecasting, State-Space Models have arisen as an effective method for spatiotemporal prediction in renewable energy systems. This ...
IEEE

DSSM: Dual State Space Model For Human Motions Generation

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 ...
IEEE

HC-Mamba: Remote Sensing Image Classification via Hybrid Cross-Activation State–Space Model

Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...
IEEE

Selective State Space Model for Monaural Speech Enhancement

Abstract: Voice user interfaces (VUIs) have facilitated the efficient interactions between humans and machines through spoken commands. Since real-word acoustic scenes are complex, speech enhancement ...
IEEE

A State-Space-Model-Based Hyperbola Detection Method for Arbitrarily Long GPR B-Scan

Abstract: The hyperbola detection in the ground-penetrating radar (GPR) data is of real significance for subsurface object localization. However, present detection methods in GPR cannot process B-scan ...
IEEE

High-Order State Space Model for Multi-Modal Accelerated MRI Reconstruction

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 ...
IEEE

Speech Conv-Mamba: Selective Structured State Space Model With Temporal Dilated Convolution for Efficient Speech Separation

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 ...
IEEE

XSNet: A Lightweight X-Ray Security Image Segmentation Model Combining State-Space Models and Convolutional Neural Networks

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 ...
GitHub

Cross-modal State Space Modeling and Terrain-specific Knowledge Distillation for RGB-Thermal Semantic Segmentation

This repository contains the code for the paper "Cross-modal State Space Modeling for Real-time RGB-Thermal Wild Scene Semantic Segmentation," which has been accepted by IROS 2025. 2025-6-26 : An ...
Space.com

Where to see today's blood moon lunar eclipse

The second total lunar eclipse of 2025 will transform the full moon into a coppery-red "blood moon" on the night of Sept. 7–8. This long-lasting, impressive eclipse is visible to billions worldwide, ...
IEEE

Dynamic Process Monitoring Using Total Multirate Linear Gaussian State Space Model

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...