:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiang, He, Run, Chen, Jiao, Fang, Di, Li, Ming, Zeng, Ziqian, Chen, Cen, Zhuang, Huiping
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.00816
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
by: He, Run, et al.
Published: (2025)

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024)

AIR: Analytic Imbalance Rectifier for Continual Learning
by: Fang, Di, et al.
Published: (2024)

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
by: He, Run, et al.
Published: (2024)

Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning
by: Tan, Xiang, et al.
Published: (2026)

Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)

ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
by: Yang, Yi, et al.
Published: (2024)

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

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

Specifying What You Know or Not for Multi-Label Class-Incremental Learning
by: Zhang, Aoting, et al.
Published: (2025)

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

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
by: De Min, Thomas, et al.
Published: (2024)

Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks
by: Anand, Deepa, et al.
Published: (2024)

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
by: Zou, Yawen, et al.
Published: (2024)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)

Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
by: Zhuang, Huiping, et al.
Published: (2024)

ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
by: Li, Haosheng, et al.
Published: (2025)

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
by: Xia, Peng, et al.
Published: (2023)

AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
by: He, Run, et al.
Published: (2024)

Invisible Clean-Label Backdoor Attacks for Generative Data Augmentation
by: Xiang, Ting, et al.
Published: (2026)

Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
by: Zuo, Yukun, et al.
Published: (2024)

Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
by: Chen, Xiuwei, et al.
Published: (2023)

Multi-Label Test-Time Adaptation with Bound Entropy Minimization
by: Wu, Xiangyu, et al.
Published: (2025)

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

MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
by: Xu, Hao, et al.
Published: (2025)

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels
by: Rakotoarivony, Lucas
Published: (2025)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Exploring Vacant Classes in Label-Skewed Federated Learning
by: Guo, Kuangpu, et al.
Published: (2024)

Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)

Self-Supervised Contrastive Learning for Multi-Label Images
by: Chen, Jiale
Published: (2025)

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels
by: Ruan, Haoxian, et al.
Published: (2025)

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

Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
by: Han, Jiayi, et al.
Published: (2023)

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
by: Li, Jiaxu, et al.
Published: (2024)

Multi-Label Knowledge Distillation
by: Yang, Penghui, et al.
Published: (2023)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
by: Wang, Leyuan, et al.
Published: (2024)

Robust Multi-Modal Face Anti-Spoofing with Domain Adaptation: Tackling Missing Modalities, Noisy Pseudo-Labels, and Model Degradation
by: Hsu, Ming-Tsung, et al.
Published: (2025)