FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Qiang, Sunyuan, Lin, Xuxin, Liang, Yanyan, Wan, Jun, Zhang, Du |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)
by: Qiang, Sunyuan, et al.
Published: (2024)
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment
by: Qiang, Sunyuan, et al.
Published: (2024)
by: Qiang, Sunyuan, et al.
Published: (2024)
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
by: Yu, Xinxing, et al.
Published: (2026)
by: Yu, Xinxing, et al.
Published: (2026)
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024)
by: Bai, Liang, et al.
Published: (2024)
Effective Decision Boundary Learning for Class Incremental Learning
by: Li, Kunchi, et al.
Published: (2023)
by: Li, Kunchi, et al.
Published: (2023)
Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, 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)
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
by: Hogea, Eduard, et al.
Published: (2024)
by: Hogea, Eduard, et al.
Published: (2024)
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
by: Lu, Haodong, et al.
Published: (2025)
by: Lu, Haodong, et al.
Published: (2025)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)
by: Huang, Libo, et al.
Published: (2024)
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
by: Zheng, Bowen, et al.
Published: (2025)
by: Zheng, Bowen, et al.
Published: (2025)
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
by: Nema, Parinita, et al.
Published: (2025)
by: Nema, Parinita, et al.
Published: (2025)
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)
by: Qiu, Zihuan, et al.
Published: (2025)
Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, et al.
Published: (2024)
by: Zhou, Qinhao, et al.
Published: (2024)
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)
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)
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
by: Guo, Haiyang, et al.
Published: (2024)
by: Guo, Haiyang, et al.
Published: (2024)
Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)
by: Du, Kaile, et al.
Published: (2024)
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)
by: Zhao, Li-Jun, et al.
Published: (2024)
Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
by: Jiang, Shengqin, et al.
Published: (2026)
by: Jiang, Shengqin, et al.
Published: (2026)
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
by: Khan, Hikmat, et al.
Published: (2024)
by: Khan, Hikmat, et al.
Published: (2024)
DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, 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)
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
by: Liu, Ajian, et al.
Published: (2024)
by: Liu, Ajian, 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)
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)
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
by: Zhou, Yuan, et al.
Published: (2024)
by: Zhou, Yuan, et al.
Published: (2024)
Future-Proofing Class-Incremental Learning
by: Jodelet, Quentin, et al.
Published: (2024)
by: Jodelet, Quentin, et al.
Published: (2024)
Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning
by: Li, Xiaojie, et al.
Published: (2025)
by: Li, Xiaojie, 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)
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning
by: Liu, Wenzhuo, et al.
Published: (2024)
by: Liu, Wenzhuo, et al.
Published: (2024)
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
by: Zhang, Guyang, et al.
Published: (2025)
by: Zhang, Guyang, et al.
Published: (2025)
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)
by: Li, Linhao, et al.
Published: (2025)
Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
by: Roy, Shuvendu, et al.
Published: (2024)
by: Roy, Shuvendu, et al.
Published: (2024)
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
by: Guo, Juncen, et al.
Published: (2025)
by: Guo, Juncen, et al.
Published: (2025)
EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
by: Liu, Bingrong, et al.
Published: (2025)
by: Liu, Bingrong, et al.
Published: (2025)
Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)
by: Luo, Xin, et al.
Published: (2023)
Learning Causal Features for Incremental Object Detection
by: He, Zhenwei, et al.
Published: (2024)
by: He, Zhenwei, et al.
Published: (2024)
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)
by: Zhu, Mingli, et al.
Published: (2024)
Similar Items
-
Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024) -
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment
by: Qiang, Sunyuan, et al.
Published: (2024) -
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
by: Yu, Xinxing, et al.
Published: (2026) -
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024) -
Effective Decision Boundary Learning for Class Incremental Learning
by: Li, Kunchi, et al.
Published: (2023)