CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Qiwei, Zhou, Jiahuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
by: Jiang, Kai, et al.
Published: (2025)
by: Jiang, Kai, et al.
Published: (2025)
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)
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)
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
by: Xu, Kunlun, et al.
Published: (2025)
by: Xu, Kunlun, et al.
Published: (2025)
Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)
by: Liu, Ruiqi, et al.
Published: (2026)
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)
LDEPrompt: Layer-importance guided Dual Expandable Prompt Pool for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)
by: Li, Linjie, et al.
Published: (2026)
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)
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)
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)
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
by: Duan, Ruxiao, et al.
Published: (2023)
by: Duan, Ruxiao, et al.
Published: (2023)
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)
DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning
by: He, Linpu, et al.
Published: (2025)
by: He, Linpu, et al.
Published: (2025)
Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)
by: Liu, Ruiqi, et al.
Published: (2026)
Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)
by: Luo, Xin, et al.
Published: (2023)
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
by: Tian, Songsong, et al.
Published: (2024)
by: Tian, Songsong, et al.
Published: (2024)
Incremental Object Keypoint Learning
by: Liang, Mingfu, et al.
Published: (2025)
by: Liang, Mingfu, et al.
Published: (2025)
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning
by: Kalla, Jayateja, et al.
Published: (2024)
by: Kalla, Jayateja, et al.
Published: (2024)
C^2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
by: Xu, Kunlun, et al.
Published: (2025)
by: Xu, Kunlun, et al.
Published: (2025)
DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, et al.
Published: (2024)
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)
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
by: Chen, Haoran, et al.
Published: (2025)
by: Chen, Haoran, 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)
Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, et al.
Published: (2026)
From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)
by: Liu, Ruiqi, et al.
Published: (2026)
Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)
by: Du, Kaile, et al.
Published: (2024)
DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)
by: Du, Kaile, et al.
Published: (2025)
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
by: Qi, Chao, et al.
Published: (2025)
by: Qi, Chao, et al.
Published: (2025)
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
by: Zhao, Haifeng, et al.
Published: (2024)
by: Zhao, Haifeng, et al.
Published: (2024)
Token Coordinated Prompt Attention is Needed for Visual Prompting
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
CASP: Few-Shot Class-Incremental Learning with CLS Token Attention Steering Prompts
by: Huang, Shuai, et al.
Published: (2026)
by: Huang, Shuai, et al.
Published: (2026)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Vision Graph Prompting via Semantic Low-Rank Decomposition
by: Ai, Zixiang, et al.
Published: (2025)
by: Ai, Zixiang, 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)
Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)
by: Huang, Libo, et al.
Published: (2024)
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
by: Hu, Tao, et al.
Published: (2025)
by: Hu, Tao, et al.
Published: (2025)
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)
by: Zhang, Jichuan, et al.
Published: (2024)
Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)
by: Li, Linjie, et al.
Published: (2026)
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
by: Jiao, Jian, et al.
Published: (2024)
by: Jiao, Jian, et al.
Published: (2024)
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
by: Liu, Chengyan, et al.
Published: (2024)
by: Liu, Chengyan, et al.
Published: (2024)
Similar Items
-
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
by: Jiang, Kai, et al.
Published: (2025) -
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
by: Sun, Hai-Long, et al.
Published: (2024) -
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024) -
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
by: Xu, Kunlun, et al.
Published: (2025) -
Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)