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DiffRSS: A Diffusion-Guided Multi-Scale Features Remote Sensing Image Segmentation Method
IEEE AccessSemantic segmentation in remote sensing is a fundamental task with crucial applications across various domains. Traditional approaches primarily utilize bottom-up discriminative methods, where network architectures learn image features to generate ...
Honghao Liu +4 more
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Decentralized Diffusion Models
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Large-scale AI model training divides work across thousands of GPUs, then synchronizes gradients across them at each step. This incurs a significant network burden that only centralized, monolithic clusters can support, driving up infrastructure costs and straining power systems.
David McAllister +3 more
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Data Augmentation in Earth Observation: A Diffusion Model Approach
InformationHigh-quality Earth Observation (EO) imagery is essential for accurate analysis and informed decision making across sectors. However, data scarcity caused by atmospheric conditions, seasonal variations, and limited geographical coverage hinders the ...
Tiago Sousa +2 more
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Remote SensingFailures in solar photovoltaic (PV) modules generate heat, leading to various hotspots observable in infrared images. Automated hotspot detection technology enables rapid fault identification in PV systems, while PV array detection, leveraging geometric ...
Ruide Li, Wenjun Yan, Chaoqun Xia
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Diffusing Diffusivity: A Model for Anomalous, yet Brownian, Diffusion [PDF]
Physical Review Letters, 2014 Wang et al. [Proc. Natl. Acad. Sci. U.S.A. 106, 15160 (2009)] have found that in several systems the linear time dependence of the mean-square displacement (MSD) of diffusing colloidal particles, typical of normal diffusion, is accompanied by a non-Gaussian displacement distribution G(x,t), with roughly exponential tails at short times, a situation ...
Mykyta V, Chubynsky, Gary W, Slater
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Modeling Information Diffusion on Social Media: The Role of the Saturation Effect
MathematicsIn an era where social media shapes public opinion, understanding information spreading is key to grasping its broader impact. This paper explores the intricacies of information diffusion on Twitter, emphasizing the significant influence of content ...
Julia Atienza-Barthelemy +2 more
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On Short-Term Loan Interest Rate Models: A First Passage Time Approach
Mathematics, 2018 In this paper, we consider a stochastic diffusion process able to model the interest rate evolving with respect to time and propose a first passage time (FPT) approach through a boundary, defined as the “alert threshold”, in order to evaluate
Giuseppina Albano, Virginia Giorno
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CoRR, 2023 Diffusion models have successfully been applied to generative tasks in various continuous domains. However, applying diffusion to discrete categorical data remains a non-trivial task. Moreover, generation in continuous domains often requires clipping in practice, which motivates the need for a theoretical framework for adapting diffusion to constrained
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The Principles of Diffusion Models
CoRRSupplementary materials for the book are available at the book website: https://the-principles-of-diffusion-models.github.io/
Chieh-Hsin Lai +4 more
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Efficient Neural Decoding Based on Multimodal Training
Brain SciencesBackground/Objectives: Neural decoding methods are often limited by the performance of brain encoders, which map complex brain signals into a latent representation space of perception information.
Yun Wang
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