Cover Image

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yan, Li, Ming, Li, Chun, Liu, Zhaoxia, Zhang, Ye, Yu, Fei Richard
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer
by: Cheng, Runze, et al.
Published: (2025)

Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation
by: Li, Yuxin, et al.
Published: (2024)

Face-D(^2)CL: Multi-Domain Synergistic Representation with Dual Continual Learning for Facial DeepFake Detection
by: Zhang, Yushuo, et al.
Published: (2026)

Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification
by: Li, Quanjiang, et al.
Published: (2026)

Learning Street View Representations with Spatiotemporal Contrast
by: Li, Yong, et al.
Published: (2025)

PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View
by: Yu, Zichen, et al.
Published: (2024)

Human Multi-View Synthesis from a Single-View Model:Transferred Body and Face Representations
by: Feng, Yu, et al.
Published: (2024)

PatchTraj: Unified Time-Frequency Representation Learning via Dynamic Patches for Trajectory Prediction
by: Liu, Yanghong, et al.
Published: (2025)

Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian
by: Sun, Wei, et al.
Published: (2024)

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
by: Yuan, Shilu, et al.
Published: (2024)

Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025)

Depth-Consistent 3D Gaussian Splatting via Physical Defocus Modeling and Multi-View Geometric Supervision
by: Deng, Yu, et al.
Published: (2025)

PVChat: Personalized Video Chat with One-Shot Learning
by: Shi, Yufei, et al.
Published: (2025)

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
by: Chen, Mulin, et al.
Published: (2024)

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
by: Ge, Jiawei, et al.
Published: (2026)

Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning
by: Xie, Yifan, et al.
Published: (2025)

Planning with the Views via Scene Self-Exploration
by: Wang, Kangrui, et al.
Published: (2026)

Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
by: Huang, Sheng, et al.
Published: (2025)

Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction
by: Zhang, Zhengquan, et al.
Published: (2025)

EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
by: Miao, Qiguang, et al.
Published: (2024)

CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
by: Yu, Wenlong, et al.
Published: (2025)

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
by: Zhou, Baichuan, et al.
Published: (2024)

OmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning
by: Yu, Hao, et al.
Published: (2025)

ClaudesLens: Uncertainty Quantification in Computer Vision Models
by: Shaar, Mohamad Al, et al.
Published: (2024)

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

Multi-Sample Anti-Aliasing and Constrained Optimization for 3D Gaussian Splatting
by: Zhou, Zheng, et al.
Published: (2025)

Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion
by: Li, Lijian
Published: (2025)

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Ye, Wei, et al.
Published: (2024)

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025)

Mosaic: Multimodal Jailbreak against Closed-Source VLMs via Multi-View Ensemble Optimization
by: Lan, Yuqin, et al.
Published: (2026)

Enhancing Supervised Composed Image Retrieval via Reasoning-Augmented Representation Engineering
by: Li, Jun, et al.
Published: (2025)

Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
by: Yan, Xu, et al.
Published: (2026)

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
by: Baby, Britty, et al.
Published: (2025)

Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion
by: Yang, Fan, et al.
Published: (2024)

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading
by: Pan, Li, et al.
Published: (2024)

MVBoost: Boost 3D Reconstruction with Multi-View Refinement
by: Liu, Xiangyu, et al.
Published: (2024)

Multi-modal Relation Distillation for Unified 3D Representation Learning
by: Wang, Huiqun, et al.
Published: (2024)

MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
by: Wen, Liangjian, et al.
Published: (2024)

Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
by: Liang, Wei, et al.
Published: (2026)