Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Bowen, Zhou, Da-Wei, Ye, Han-Jia, Zhan, De-Chuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024)
by: Qi, Zhi-Hong, et al.
Published: (2024)
Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)
by: Xie, Zhen-Hao, et al.
Published: (2026)
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
by: Li, Lan, et al.
Published: (2025)
by: Li, Lan, et al.
Published: (2025)
Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)
by: Wen, Zhen-Hao, et al.
Published: (2025)
External Knowledge Injection for CLIP-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2025)
by: Zhou, Da-Wei, et al.
Published: (2025)
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
by: Sun, Hai-Long, et al.
Published: (2024)
by: Sun, Hai-Long, et al.
Published: (2024)
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
by: Li, Lan, et al.
Published: (2025)
by: Li, Lan, et al.
Published: (2025)
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
by: Wu, Fangwen, et al.
Published: (2025)
by: Wu, Fangwen, et al.
Published: (2025)
Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, et al.
Published: (2026)
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
by: Sun, Hai-Long, et al.
Published: (2023)
by: Sun, Hai-Long, et al.
Published: (2023)
DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, et al.
Published: (2024)
Feature Expansion and enhanced Compression for Class Incremental Learning
by: Ferdinand, Quentin, et al.
Published: (2024)
by: Ferdinand, Quentin, et al.
Published: (2024)
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)
by: Park, Min-Yeong, et al.
Published: (2024)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
Continual Learning with Pre-Trained Models: A Survey
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
C3Box: A CLIP-based Class-Incremental Learning Toolbox
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, et al.
Published: (2026)
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)
by: Guo, Zirui, et al.
Published: (2026)
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)
by: Ding, Chenhao, et al.
Published: (2025)
Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)
by: Huang, Zitong, et al.
Published: (2024)
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
by: Lim, Jia Syuen, et al.
Published: (2024)
by: Lim, Jia Syuen, et al.
Published: (2024)
Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)
by: Qiang, Sunyuan, et al.
Published: (2024)
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
by: Yao, Yifei, et al.
Published: (2024)
by: Yao, Yifei, et al.
Published: (2024)
AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)
by: Xie, Zhen-Hao, et al.
Published: (2026)
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
by: Hu, Tao, et al.
Published: (2025)
by: Hu, Tao, et al.
Published: (2025)
Learning without Forgetting for Vision-Language Models
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
by: Gao, Xinyuan, et al.
Published: (2024)
by: Gao, Xinyuan, et al.
Published: (2024)
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
by: Guo, Haiyang, et al.
Published: (2024)
by: Guo, Haiyang, et al.
Published: (2024)
Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)
by: Luo, Xin, et al.
Published: (2023)
TACLE: Task and Class-aware Exemplar-free Semi-supervised Class Incremental Learning
by: Kalla, Jayateja, et al.
Published: (2024)
by: Kalla, Jayateja, et al.
Published: (2024)
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)
by: Huang, Zitong, et al.
Published: (2024)
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
by: Liu, Xialei, et al.
Published: (2022)
by: Liu, Xialei, et al.
Published: (2022)
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024)
by: Bai, Liang, et al.
Published: (2024)
Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs
by: Chen, Zhi-Kai, et al.
Published: (2026)
by: Chen, Zhi-Kai, et al.
Published: (2026)
Similar Items
-
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024) -
Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023) -
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024) -
Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026) -
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
by: Li, Lan, et al.
Published: (2025)