Copertina

Adaptive Confidence Regularization for Multimodal Failure Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Moru, Dong, Hao, Fink, Olga, Trapp, Mario
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
di: Liu, Moru, et al.
Pubblicazione: (2025)

To Trust Or Not To Trust Your Vision-Language Model's Prediction
di: Dong, Hao, et al.
Pubblicazione: (2025)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
di: Dong, Hao, et al.
Pubblicazione: (2025)

Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems
di: Dong, Hao, et al.
Pubblicazione: (2026)

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
di: Dong, Hao, et al.
Pubblicazione: (2025)

Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
di: Dong, Hao, et al.
Pubblicazione: (2024)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
di: Dong, Hao, et al.
Pubblicazione: (2024)

NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
di: Dong, Hao, et al.
Pubblicazione: (2023)

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
di: Dong, Hao, et al.
Pubblicazione: (2026)

Adapting Vision-Language Models Without Labels: A Comprehensive Survey
di: Dong, Hao, et al.
Pubblicazione: (2025)

TRACER: Persistent Regularization for Robust Multimodal Finetuning
di: Asadollahzadeh, Hesam, et al.
Pubblicazione: (2026)

Development of a Neural Network Model for Currency Detection to aid visually impaired people in Nigeria
di: Nwokoye, Sochukwuma, et al.
Pubblicazione: (2025)

Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization
di: Xu, Guoyang, et al.
Pubblicazione: (2024)

Gradient-based Fine-Tuning through Pre-trained Model Regularization
di: Liu, Xuanbo, et al.
Pubblicazione: (2025)

Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systems
di: Ding, Zhicheng, et al.
Pubblicazione: (2019)

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
di: Yamaguchi, Shin'ya, et al.
Pubblicazione: (2024)

A Composable Multimodal Framework for cine CMR-Text-Driven Prediction of Heart Failure Outcomes
di: Chen, Jianzhou, et al.
Pubblicazione: (2025)

Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
di: Nejjar, Ismail, et al.
Pubblicazione: (2024)

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
di: Hong, Yunqi, et al.
Pubblicazione: (2025)

Learning to Inference Adaptively for Multimodal Large Language Models
di: Xu, Zhuoyan, et al.
Pubblicazione: (2025)

Progressive Confident Masking Attention Network for Audio-Visual Segmentation
di: Wang, Yuxuan, et al.
Pubblicazione: (2024)

CALICO: Confident Active Learning with Integrated Calibration
di: Querol, Lorenzo S., et al.
Pubblicazione: (2024)

When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
di: Yan, Hao, et al.
Pubblicazione: (2024)

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine
di: Li, Zhi, et al.
Pubblicazione: (2024)

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
di: Dong, Yuhao, et al.
Pubblicazione: (2026)

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification
di: Chitnis, Soham Rohit, et al.
Pubblicazione: (2023)

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
di: Ni, Haotian, et al.
Pubblicazione: (2025)

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
di: Zhang, Haojie, et al.
Pubblicazione: (2025)

CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
di: Zhang, Yuwei, et al.
Pubblicazione: (2024)

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
di: Cao, Shengcao, et al.
Pubblicazione: (2024)

Comprehensive Exploration of Synthetic Data Generation: A Survey
di: Bauer, André, et al.
Pubblicazione: (2024)

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection
di: Wang, Heqiang, et al.
Pubblicazione: (2026)

Reconstruction Alignment Improves Unified Multimodal Models
di: Xie, Ji, et al.
Pubblicazione: (2025)

eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts
di: Medina, Paulo Mario P., et al.
Pubblicazione: (2026)

ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
di: Wu, Jason, et al.
Pubblicazione: (2025)

Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA
di: Pandey, Ayush, et al.
Pubblicazione: (2025)

Align and Distill: Unifying and Improving Domain Adaptive Object Detection
di: Kay, Justin, et al.
Pubblicazione: (2024)

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression
di: Chapman, Avraham, et al.
Pubblicazione: (2022)

Score-Regularized Joint Sampling with Importance Weights for Flow Matching
di: Liu, Xinshuang, et al.
Pubblicazione: (2025)

Align Your Query: Representation Alignment for Multimodality Medical Object Detection
di: Seo, Ara, et al.
Pubblicazione: (2025)