Cover Image

GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Ningkang, Mao, Jingyang, Peng, Xiaoqian, Ma, Peirong, Yang, Xichen, Qu, Weiguang, Gu, Yanhui
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

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
by: Peng, Ningkang, et al.
Published: (2026)

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026)

When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)

Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label
by: Mao, Jingyang, et al.
Published: (2026)

VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)

Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)

Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion
by: Peng, Ningkang, et al.
Published: (2026)

Early High-Frequency Injection for Geometry-Sensitive OOD Detection
by: Cheng, Chuanjie, et al.
Published: (2026)

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)

Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
by: Peng, Ningkang, et al.
Published: (2026)

Halt the Hallucination: Decoupling Signal and Semantic OOD Detection Based on Cascaded Early Rejection
by: Peng, Ningkang, et al.
Published: (2026)

PIS: A Physics-Informed System for Accurate State Partitioning of $Aβ_{42}$ Protein Trajectories
by: Yu, Qianfeng, et al.
Published: (2026)

How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026)

Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation
by: Satou, Hana, et al.
Published: (2025)

Optimized Gradient Clipping for Noisy Label Learning
by: Ye, Xichen, et al.
Published: (2024)

Active Negative Loss: A Robust Framework for Learning with Noisy Labels
by: Ye, Xichen, et al.
Published: (2024)

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2025)

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
by: Huang, Wei-Cheng, et al.
Published: (2024)

Affordance-First Decomposition for Continual Learning in Video-Language Understanding
by: Xu, Mengzhu, et al.
Published: (2025)

Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
by: Peng, Likang, et al.
Published: (2025)

Noisy Label Refinement with Semantically Reliable Synthetic Images
by: Li, Yingxuan, et al.
Published: (2025)

Noisy-Correspondence Learning for Text-to-Image Person Re-identification
by: Qin, Yang, et al.
Published: (2023)

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
by: Zhao, Rui, et al.
Published: (2024)

Angle-I2P: Angle-Consistent-Aware Hierarchical Attention for Cross-Modality Outlier Rejection
by: Peng, Muyao, et al.
Published: (2026)

Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
by: Pu, Ruitao, et al.
Published: (2025)

NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)

SARD: Segmentation-Aware Anomaly Synthesis via Region-Constrained Diffusion with Discriminative Mask Guidance
by: Wang, Yanshu, et al.
Published: (2025)

Geometric Transformation-Embedded Mamba for Learned Video Compression
by: Wei, Hao, et al.
Published: (2026)

Skeleton-Based Human Action Recognition with Noisy Labels
by: Xu, Yi, et al.
Published: (2024)

Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data
by: Xu, Xichen, et al.
Published: (2025)

Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
by: Baik, Jae Soon, et al.
Published: (2024)

EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
by: Peng, Kunyu, et al.
Published: (2025)

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
by: Wang, Kening, et al.
Published: (2026)

Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels
by: Marrium, Maria, et al.
Published: (2024)

Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
by: Chen, Wentao, et al.
Published: (2024)

Federated Learning with Instance-Dependent Noisy Label
by: Wang, Lei, et al.
Published: (2023)

Joint Asymmetric Loss for Learning with Noisy Labels
by: Wang, Jialiang, et al.
Published: (2025)

Foster Adaptivity and Balance in Learning with Noisy Labels
by: Sheng, Mengmeng, et al.
Published: (2024)

SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
by: Zhao, Guiyu, et al.
Published: (2024)

Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
by: Kim, Heewon, et al.
Published: (2024)