NDMamba:夜间排水的双前置状态空间模型
概括
NDMamba是一种新的双先导状态空间模型,通过有效地模拟照明和雨水退化来增强夜间图像脱轨. 这种方法平衡了效率和性能,在基准数据集上表现优于现有方法.
科学领域:
- 计算机视觉 计算机视觉
- 深度学习 (Deep Learning) 是一种深度学习.
- 图像处理 图像处理
背景情况:
- 卷积神经网络 (CNN) 和视觉转换器 (ViT) 已经推进了夜间图像脱轨.
- 目前的方法缺乏计算效率和恢复性能之间的最佳平衡.
- 现有的模型不足以解决低光特征和雨水照明相互作用.
研究的目的:
- 提出NDMamba,一个双优先引导的状态空间模型,以改善夜间图像脱轨.
- 通过使用先前提取模块 (PEM) 共同建模照明条件和降雨退化.
- 为了增强当地特征,并通过先导马巴块 (PGMB) 改进脱轨.
主要方法:
- 开发了NDMamba,这是一个状态空间模型,包含夜间脱轨的双重先验.
- 引入了一个前提取模块 (PEM),灵感来自Retinex理论.
- 设计了一个预先引导的Mamba块 (PGMB) 与照明适应视觉状态空间模块 (LVSSM) 和雨分布引导模块 (RDGM).
主要成果:
- 与最先进的方法相比,NDMamba表现出卓越的性能.
- 该模型在合成和现实世界的夜间脱轨数据集上取得了显著的改进.
- 实验结果验证了拟议的双先导指导方法的有效性.
结论:
- NDMamba有效地解决了当前夜间图像脱轨技术的局限性.
- 拟议的模型为高质量的夜间图像恢复提供了一个有希望的解决方案.
- 公共可用的代码有助于在该领域进行进一步的研究和应用.
相关概念视频
State Space Representation
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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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State Space to Transfer Function
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The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
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Linear Approximation in Time Domain
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Transfer Function to State Space
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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
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Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
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In the case of subcutaneously administered drugs,...
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Time-Domain Interpretation of PD Control
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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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