Cover Image

Uncertainty Quantification In Surface Landmines and UXO Classification Using MC Dropout

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lekhak, Sagar, Ientilucci, Emmett J., Dera, Dimah, Ghosh, Susmita
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Other Statistics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A UAV-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection
by: Lekhak, Sagar, et al.
Published: (2025)

Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
by: Asgharnezhad, Hamzeh, et al.
Published: (2025)

Robustness Test for AI Forecasting of Hurricane Florence Using FourCastNetv2 and Random Perturbations of the Initial Condition
by: Lizerbram, Adam, et al.
Published: (2025)

Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
by: Chatterjee, Abhiroop, et al.
Published: (2025)

EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models
by: Bonnetto, Andy, et al.
Published: (2025)

Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples
by: Megahed, Fadel M., et al.
Published: (2025)

Phase-Type Variational Autoencoders for Heavy-Tailed Data
by: Ziani, Abdelhakim, et al.
Published: (2026)

SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale Convolutions and Multiview Attention Mechanisms
by: Liu, Xuesong, et al.
Published: (2025)

Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery
by: Lekhak, Sagar, et al.
Published: (2026)

Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
by: Fang, Yixiong, et al.
Published: (2024)

SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
by: Carannante, Giuseppina, et al.
Published: (2021)

Valid Selection among Conformal Sets
by: Hegazy, Mahmoud, et al.
Published: (2025)

Multivariate Standardized Residuals for Conformal Prediction
by: Braun, Sacha, et al.
Published: (2025)

Minimum Volume Conformal Sets for Multivariate Regression
by: Braun, Sacha, et al.
Published: (2025)

Convergence to the Truth
by: Lin, Hanti
Published: (2024)

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
by: Jiang, Xinke, et al.
Published: (2023)

A novel approach to navigate the taxonomic hierarchy to address the Open-World Scenarios in Medicinal Plant Classification
by: Sinha, Soumen, et al.
Published: (2025)

Statistical analysis of locally parameterized shapes
by: Taheri, Mohsen, et al.
Published: (2021)

Machine Learning Solutions Integrated in an IoT Healthcare Platform for Heart Failure Risk Stratification
by: Faiz, Aiman, et al.
Published: (2025)

Towards Strong AI: Transformational Beliefs and Scientific Creativity
by: Eschker, Samuel J., et al.
Published: (2024)

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement
by: Tang, Jinfan, et al.
Published: (2025)

The Future of Data Science Education
by: Wright, Brian, et al.
Published: (2024)

Treatment, evidence, imitation, and chat
by: Weisenthal, Samuel J.
Published: (2025)

Equity in the Use of ChatGPT for the Classroom: A Comparison of the Accuracy and Precision of ChatGPT 3.5 vs. ChatGPT4 with Respect to Statistics and Data Science Exams
by: McGee, Monnie, et al.
Published: (2024)

Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
by: Ahmad, Waqar, et al.
Published: (2025)

Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
by: Dong, Yongqi, et al.
Published: (2023)

A Statistical Case Against Empirical Human-AI Alignment
by: Rodemann, Julian, et al.
Published: (2025)

A Survey on Large Language Model-based Agents for Statistics and Data Science
by: Sun, Maojun, et al.
Published: (2024)

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals
by: Yan, Xianquan, et al.
Published: (2025)

Adaptive Contextual Embedding for Robust Far-View Borehole Detection
by: Liu, Xuesong, et al.
Published: (2025)

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning
by: Zhang, Yan, et al.
Published: (2024)

Dynamic Survival Prediction using Longitudinal Images based on Transformer
by: Liu, Bingfan, et al.
Published: (2025)

Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery
by: Alam, Shahnawaz, et al.
Published: (2026)

A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2025)

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
by: Islam, Iman, et al.
Published: (2024)

The Problem of the Priors, or Posteriors?
by: Lin, Hanti
Published: (2025)

Uncertainty Quantification for Agent Based Models: A Tutorial
by: Kimpton, Louise, et al.
Published: (2024)

ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification
by: Zhang, Congjing, et al.
Published: (2025)

A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2024)

Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
by: von der Maase, Simon P.
Published: (2025)