Cover Image

Rebalancing Multi-Label Class-Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Kaile, Zhou, Yifan, Lyu, Fan, Li, Yuyang, Xie, Junzhou, Shen, Yixi, Hu, Fuyuan, Liu, Guangcan
Format:	Preprint
Published:	2024
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

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

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

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
by: Liu, Chengyan, et al.
Published: (2024)

Inductive Convolution Nuclear Norm Minimization for Tensor Completion with Arbitrary Sampling
by: Li, Wei, et al.
Published: (2026)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
by: Lyu, Fan, et al.
Published: (2025)

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

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

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

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)

Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
by: Cong, Wei, et al.
Published: (2024)

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

Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
by: Xiao, Jian, et al.
Published: (2025)

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
by: Wu, Ruitao, et al.
Published: (2025)

Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning
by: Zhao, Yifan, et al.
Published: (2025)

Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)

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

When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
by: Zhang, Zheng, et al.
Published: (2026)

Defying Imbalanced Forgetting in Class Incremental Learning
by: Xu, Shixiong, et al.
Published: (2024)

Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)

Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
by: Zhou, Yuan, et al.
Published: (2024)

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

CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
by: Guo, Mingyi, et al.
Published: (2024)

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
by: Guo, Haiyang, et al.
Published: (2024)

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
by: Li, Qiwei, et al.
Published: (2024)

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

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)

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

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

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning
by: Liu, Wenzhuo, et al.
Published: (2024)

Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)

Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
by: Jiao, Jian, et al.
Published: (2024)

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
by: Wang, Tianqi, et al.
Published: (2025)

FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
by: Qiang, Sunyuan, et al.
Published: (2024)

Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
by: Zheng, Bowen, et al.
Published: (2025)

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

Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
by: Guo, Juncen, et al.
Published: (2025)

Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)

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