Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ma'sum, M. Anwar, Pratama, Mahardhika, Skrjanc, Igor |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)
by: Ma'sum, M. Anwar, et al.
Published: (2025)
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, et al.
Published: (2024)
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)
by: Paramonov, Kirill, et al.
Published: (2025)
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
by: Nagata, Kotaro, et al.
Published: (2024)
by: Nagata, Kotaro, et al.
Published: (2024)
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
by: Kang, Haidong, et al.
Published: (2025)
by: Kang, Haidong, et al.
Published: (2025)
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning
by: Xiong, Huiyu, et al.
Published: (2024)
by: Xiong, Huiyu, et al.
Published: (2024)
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
by: Paeedeh, Naeem, et al.
Published: (2025)
by: Paeedeh, Naeem, et al.
Published: (2025)
Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)
by: Paeedeh, Naeem, et al.
Published: (2026)
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning
by: Kim, Junsu, et al.
Published: (2025)
by: Kim, Junsu, et al.
Published: (2025)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, 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)
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
by: Oh, Junghun, et al.
Published: (2024)
by: Oh, Junghun, et al.
Published: (2024)
Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, 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)
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)
by: Li, Linhao, et al.
Published: (2025)
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)
by: Zhu, Mingli, et al.
Published: (2024)
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)
by: Wang, Zhiwu, et al.
Published: (2025)
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)
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
by: Yavari, Sara, et al.
Published: (2025)
by: Yavari, Sara, et al.
Published: (2025)
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)
by: D'Alessandro, Marco, et al.
Published: (2023)
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
by: Wang, Ye, et al.
Published: (2024)
by: Wang, Ye, et al.
Published: (2024)
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
by: Fang, Pengfei, et al.
Published: (2024)
by: Fang, Pengfei, et al.
Published: (2024)
A Bag of Tricks for Few-Shot Class-Incremental Learning
by: Roy, Shuvendu, et al.
Published: (2024)
by: Roy, Shuvendu, et al.
Published: (2024)
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
by: Wu, Qirui, et al.
Published: (2025)
by: Wu, Qirui, et al.
Published: (2025)
Defying Imbalanced Forgetting in Class Incremental Learning
by: Xu, Shixiong, et al.
Published: (2024)
by: Xu, Shixiong, et al.
Published: (2024)
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
by: Ahmed, Noor, et al.
Published: (2024)
by: Ahmed, Noor, et al.
Published: (2024)
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)
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
by: Karantaidis, George, et al.
Published: (2025)
by: Karantaidis, George, 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)
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)
by: Lee, Juntae, et al.
Published: (2025)
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)
by: Dai, Jiaxin, et al.
Published: (2025)
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
by: Han, Jizhou, et al.
Published: (2025)
by: Han, Jizhou, et al.
Published: (2025)
Towards Cross-Domain Continual Learning
by: de Carvalho, Marcus, et al.
Published: (2024)
by: de Carvalho, Marcus, 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)
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)
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)
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)
Similar Items
-
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024) -
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024) -
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025) -
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024) -
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)