Cover Image

Boundary-Aware Uncertainty Quantification for Wildfire Spread Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Funk, Jonas V.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
by: Lahrichi, Saad, et al.
Published: (2025)

U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction
by: Luo, Yingyi, et al.
Published: (2026)

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
by: Kondylatos, Spyros, et al.
Published: (2025)

FireSenseNet: A Dual-Branch CNN with Cross-Attentive Feature Interaction for Next-Day Wildfire Spread Prediction
by: Han, Jinzhen, et al.
Published: (2026)

Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free Methods
by: Gerard, Sebastian, et al.
Published: (2026)

Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
by: Zhou, Yihang, et al.
Published: (2025)

Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
by: Nag, Sayak, et al.
Published: (2025)

OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
by: Heidrich, Severin, et al.
Published: (2025)

Melanoma Detection with Uncertainty Quantification
by: Kim, SangHyuk, et al.
Published: (2024)

Probabilistic Wildfire Spread Prediction Using an Autoregressive Conditional Generative Adversarial Network
by: Kang, Taehoon, et al.
Published: (2025)

Uncertainty Quantification in HSI Reconstruction using Physics-Aware Diffusion Priors and Optics-Encoded Measurements
by: Romero, Juan, et al.
Published: (2025)

Uncertainty Quantification in Table Structure Recognition
by: Ajayi, Kehinde, et al.
Published: (2024)

Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
by: Beemelmanns, Till, et al.
Published: (2026)

VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
by: Park, Seongheon, et al.
Published: (2026)

Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
by: Christensen, Jakob Lønborg, et al.
Published: (2026)

Uncertainty-Aware Remaining Lifespan Prediction from Images
by: Kenneweg, Tristan, et al.
Published: (2025)

Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada
by: Xu, Zhengsen, et al.
Published: (2026)

Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
by: Karlsson, Justus, et al.
Published: (2025)

SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation
by: Jin, Yufeng, et al.
Published: (2025)

Uncertainty-Aware Trajectory Prediction: A Unified Framework Harnessing Positional and Semantic Uncertainties
by: Sun, Jintao, et al.
Published: (2026)

FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting
by: Zhou, Nan, et al.
Published: (2025)

Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
by: Wundram, Anna M., et al.
Published: (2025)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
by: Mossina, Luca, et al.
Published: (2024)

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
by: Liu, Yao, et al.
Published: (2023)

Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
by: Chen, Luke, et al.
Published: (2025)

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
by: Hoche, Joseph, et al.
Published: (2025)

Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
by: Belhasin, Omer, et al.
Published: (2023)

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
by: Li, Hao, et al.
Published: (2023)

PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis
by: Sun, Chuanhao, et al.
Published: (2024)

Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
by: Dijk, Judith, et al.
Published: (2024)

Uncertainty Quantification for Visual Object Pose Estimation
by: Shaikewitz, Lorenzo, et al.
Published: (2025)

Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
by: Cocheteux, Mathieu, et al.
Published: (2025)

Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
by: Chodavarapu, Ranjith
Published: (2026)

Wildfire Detection Using Vision Transformer with the Wildfire Dataset
by: Vuppari, Gowtham Raj, et al.
Published: (2025)

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
by: Lee, Junhyeok, et al.
Published: (2026)

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
by: Kaiser, Timo, et al.
Published: (2025)

Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
by: Xue, Zhipeng, et al.
Published: (2025)

Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
by: Abboud, Zeinab, et al.
Published: (2024)

Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation
by: Huang, Debao, et al.
Published: (2025)

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
by: Wen, Jeffrey, et al.
Published: (2024)