Cover Image

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoche, Joseph, Bursuc, Andrei, Brellmann, David, Louppe, Gilles, Izmailov, Pavel, Yao, Angela, Franchi, Gianni
Format:	Preprint
Published:	2025
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

Leveraging Visual Signals for Robust Token-Level Uncertainty in Vision-Language Generation
by: Hoche, Joseph, et al.
Published: (2026)

Learning to Generate Training Datasets for Robust Semantic Segmentation
by: Hariat, Marwane, et al.
Published: (2023)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
by: Vobecky, Antonin, et al.
Published: (2022)

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2025)

Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
by: Wysoczańska, Monika, et al.
Published: (2024)

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

SuperQuadricOcc: Real-Time Self-Supervised Semantic Occupancy Estimation with Superquadric Volume Rendering
by: Hayes, Seamie, et al.
Published: (2025)

Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
by: Ammar, Mouïn Ben, et al.
Published: (2024)

Video-Driven Graph Network-Based Simulators
by: Szewczyk, Franciszek, et al.
Published: (2024)

BIGFix: Bidirectional Image Generation with Token Fixing
by: Besnier, Victor, et al.
Published: (2025)

Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
by: Wu, Qiyuan, et al.
Published: (2025)

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
by: Teneggi, Jacopo, et al.
Published: (2025)

Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
by: Lafage, Adrien, et al.
Published: (2024)

SS3D: End2End Self-Supervised 3D from Web Videos
by: Hariat, Marwane, et al.
Published: (2026)

Improving Alignment in LVLMs with Debiased Self-Judgment
by: Yang, Sihan, et al.
Published: (2025)

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

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
by: Simoncini, Walter, et al.
Published: (2024)

Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
by: Maag, Kira, et al.
Published: (2023)

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
by: Yamada, Ryousuke, et al.
Published: (2025)

Getting to the Point: Pointing Improves LVLMs at Counting
by: Alghisi, Simone, et al.
Published: (2026)

From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
by: Yao, Yifei, et al.
Published: (2024)

Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
by: Michele, Björn, et al.
Published: (2025)

Three Pillars improving Vision Foundation Model Distillation for Lidar
by: Puy, Gilles, et al.
Published: (2023)

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)

CLIP-QDA: An Explainable Concept Bottleneck Model
by: Kazmierczak, Rémi, et al.
Published: (2023)

Explainability for Vision Foundation Models: A Survey
by: Kazmierczak, Rémi, et al.
Published: (2025)

Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting
by: Wilson, Joey, et al.
Published: (2024)

Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs
by: Pan, Zihao, et al.
Published: (2025)

MILAN: Milli-Annotations for Lidar Semantic Segmentation
by: Samet, Nermin, et al.
Published: (2024)

IGLOSS: Image Generation for Lidar Open-vocabulary Semantic Segmentation
by: Samet, Nermin, et al.
Published: (2026)

CoRe-GS: Coarse-to-Refined Gaussian Splatting with Semantic Object Focus
by: Schieber, Hannah, et al.
Published: (2025)

Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
by: Franchi, Gianni, et al.
Published: (2024)

Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
by: Tang, Qi, et al.
Published: (2023)

Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching
by: Singh, Kurran, et al.
Published: (2024)

Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
by: Lin, Qiuxia, et al.
Published: (2025)

DIP: Unsupervised Dense In-Context Post-training of Visual Representations
by: Sirko-Galouchenko, Sophia, et al.
Published: (2025)

Boosting Visual Instruction Tuning with Self-Supervised Guidance
by: Sirko-Galouchenko, Sophia, et al.
Published: (2026)

Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies
by: McRae-Posani, Bala, et al.
Published: (2024)

Adaptive Self-Training for Object Detection
by: Vandeghen, Renaud, et al.
Published: (2022)

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)