Cover Image

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Wei-Cheng, Chen, Chun-Fu, Hsu, Hsiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
by: Tamajo, Alberto, et al.
Published: (2026)

Consistent Prompting for Rehearsal-Free Continual Learning
by: Gao, Zhanxin, et al.
Published: (2024)

P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning
by: Dong, Songlin, et al.
Published: (2026)

Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
by: Chen, Haoran, et al.
Published: (2025)

REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
by: Jeon, Sungho, et al.
Published: (2024)

Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
by: Zhao, Haifeng, et al.
Published: (2024)

Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)

Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)

Machine Unlearning for Image-to-Image Generative Models
by: Li, Guihong, et al.
Published: (2024)

AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
by: Alssum, Lama, et al.
Published: (2025)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
by: Chen, Wei, et al.
Published: (2024)

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
by: Qin, Yongchun, et al.
Published: (2024)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
by: Sun, Wenju, et al.
Published: (2022)

One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
by: Zhang, Xiaoyan, et al.
Published: (2026)

Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)

Future-Proofing Class-Incremental Learning
by: Jodelet, Quentin, et al.
Published: (2024)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
by: Zhu, Fei, et al.
Published: (2024)

Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024)

Feature-Space Generative Models for One-Shot Class-Incremental Learning
by: Foster, Jack, et al.
Published: (2026)

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
by: Rypeść, Grzegorz, et al.
Published: (2024)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
by: Huang, Linlan, et al.
Published: (2024)

External Knowledge Injection for CLIP-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2025)

Rehearsal-free Federated Domain-incremental Learning
by: Sun, Rui, et al.
Published: (2024)

Effective Decision Boundary Learning for Class Incremental Learning
by: Li, Kunchi, et al.
Published: (2023)

Scalable Class-Incremental Learning Based on Parametric Neural Collapse
by: Zhang, Chuangxin, et al.
Published: (2025)

C3Box: A CLIP-based Class-Incremental Learning Toolbox
by: Sun, Hao, et al.
Published: (2026)

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
by: Hu, Tao, et al.
Published: (2025)

Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)

Confidence Self-Calibration for Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)

Regularized Contrastive Partial Multi-view Outlier Detection
by: Wang, Yijia, et al.
Published: (2024)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
by: Fischer, Tom, et al.
Published: (2024)

CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning
by: Javadi, Amirhosein, et al.
Published: (2026)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2025)