CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Bao, Kexin, Zhang, Daichi, Zhang, Hansong, Li, Yong, Yue, Yutao, Ge, Shiming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
por: Bao, Kexin, et al.
Publicado: (2026)
por: Bao, Kexin, et al.
Publicado: (2026)
Few-shot Class-Incremental Learning via Generative Co-Memory Regularization
por: Bao, Kexin, et al.
Publicado: (2026)
por: Bao, Kexin, et al.
Publicado: (2026)
PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
por: Baoa, Kexin, et al.
Publicado: (2026)
por: Baoa, Kexin, et al.
Publicado: (2026)
Compositional Few-Shot Class-Incremental Learning
por: Zou, Yixiong, et al.
Publicado: (2024)
por: Zou, Yixiong, et al.
Publicado: (2024)
Interpret the Predictions of Deep Networks via Re-Label Distillation
por: Hua, Yingying, et al.
Publicado: (2024)
por: Hua, Yingying, et al.
Publicado: (2024)
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
por: D'Alessandro, Marco, et al.
Publicado: (2023)
por: D'Alessandro, Marco, et al.
Publicado: (2023)
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
por: Wang, Ye, et al.
Publicado: (2024)
por: Wang, Ye, et al.
Publicado: (2024)
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
por: Han, Jizhou, et al.
Publicado: (2025)
por: Han, Jizhou, et al.
Publicado: (2025)
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
por: Oh, Junghun, et al.
Publicado: (2024)
por: Oh, Junghun, et al.
Publicado: (2024)
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
por: Li, Chenyu, et al.
Publicado: (2024)
por: Li, Chenyu, et al.
Publicado: (2024)
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
por: Zhang, Daichi, et al.
Publicado: (2025)
por: Zhang, Daichi, et al.
Publicado: (2025)
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
por: Dai, Jiaxin, et al.
Publicado: (2025)
por: Dai, Jiaxin, et al.
Publicado: (2025)
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
por: Paramonov, Kirill, et al.
Publicado: (2025)
por: Paramonov, Kirill, et al.
Publicado: (2025)
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
por: Zhou, Haichen, et al.
Publicado: (2024)
por: Zhou, Haichen, et al.
Publicado: (2024)
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
por: He, Zeyu, et al.
Publicado: (2025)
por: He, Zeyu, et al.
Publicado: (2025)
SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning
por: Suleymanov, Umid, et al.
Publicado: (2026)
por: Suleymanov, Umid, et al.
Publicado: (2026)
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
por: Zhang, Daichi, et al.
Publicado: (2025)
por: Zhang, Daichi, et al.
Publicado: (2025)
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
por: Kim, Junsu, et al.
Publicado: (2025)
por: Kim, Junsu, et al.
Publicado: (2025)
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning
por: Kim, Junsu, et al.
Publicado: (2025)
por: Kim, Junsu, et al.
Publicado: (2025)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
por: Liu, Chenxi, et al.
Publicado: (2024)
por: Liu, Chenxi, et al.
Publicado: (2024)
Covariance-based Space Regularization for Few-shot Class Incremental Learning
por: Hu, Yijie, et al.
Publicado: (2024)
por: Hu, Yijie, et al.
Publicado: (2024)
Distilling Channels for Efficient Deep Tracking
por: Ge, Shiming, et al.
Publicado: (2024)
por: Ge, Shiming, et al.
Publicado: (2024)
Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition
por: Zhang, Junzheng, et al.
Publicado: (2024)
por: Zhang, Junzheng, et al.
Publicado: (2024)
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
por: Ma'sum, M. Anwar, et al.
Publicado: (2025)
por: Ma'sum, M. Anwar, et al.
Publicado: (2025)
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
por: Fang, Pengfei, et al.
Publicado: (2024)
por: Fang, Pengfei, et al.
Publicado: (2024)
Efficient Low-Resolution Face Recognition via Bridge Distillation
por: Ge, Shiming, et al.
Publicado: (2024)
por: Ge, Shiming, et al.
Publicado: (2024)
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
por: Park, Min-Yeong, et al.
Publicado: (2024)
por: Park, Min-Yeong, et al.
Publicado: (2024)
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
por: Xu, Wenbo, et al.
Publicado: (2024)
por: Xu, Wenbo, et al.
Publicado: (2024)
Feature-Space Generative Models for One-Shot Class-Incremental Learning
por: Foster, Jack, et al.
Publicado: (2026)
por: Foster, Jack, et al.
Publicado: (2026)
Federated Class-Incremental Learning with Prompting
por: Luo, Xin, et al.
Publicado: (2023)
por: Luo, Xin, et al.
Publicado: (2023)
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
por: Bai, Yunwei, et al.
Publicado: (2024)
por: Bai, Yunwei, et al.
Publicado: (2024)
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation
por: Wang, Pengju, et al.
Publicado: (2024)
por: Wang, Pengju, et al.
Publicado: (2024)
Bias Mitigating Few-Shot Class-Incremental Learning
por: Zhao, Li-Jun, et al.
Publicado: (2024)
por: Zhao, Li-Jun, et al.
Publicado: (2024)
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation
por: Zhang, Kangkai, et al.
Publicado: (2024)
por: Zhang, Kangkai, et al.
Publicado: (2024)
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
por: Di, Kexin, et al.
Publicado: (2025)
por: Di, Kexin, et al.
Publicado: (2025)
Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
por: Lee, Yujin, et al.
Publicado: (2024)
por: Lee, Yujin, et al.
Publicado: (2024)
Rethinking the Sample Relations for Few-Shot Classification
por: Yin, Guowei, et al.
Publicado: (2025)
por: Yin, Guowei, et al.
Publicado: (2025)
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
por: Zhou, Yuan, et al.
Publicado: (2024)
por: Zhou, Yuan, et al.
Publicado: (2024)
ACIL: Active Class Incremental Learning for Image Classification
por: Bhattacharya, Aditya R., et al.
Publicado: (2026)
por: Bhattacharya, Aditya R., et al.
Publicado: (2026)
Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
por: Tan, Jiantao, et al.
Publicado: (2025)
por: Tan, Jiantao, et al.
Publicado: (2025)
Ejemplares similares
-
Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
por: Bao, Kexin, et al.
Publicado: (2026) -
Few-shot Class-Incremental Learning via Generative Co-Memory Regularization
por: Bao, Kexin, et al.
Publicado: (2026) -
PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
por: Baoa, Kexin, et al.
Publicado: (2026) -
Compositional Few-Shot Class-Incremental Learning
por: Zou, Yixiong, et al.
Publicado: (2024) -
Interpret the Predictions of Deep Networks via Re-Label Distillation
por: Hua, Yingying, et al.
Publicado: (2024)