Cover Image

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Xinyuan, Dong, Songlin, He, Yuhang, Wei, Xing, Gong, Yihong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
by: Han, Jizhou, et al.
Published: (2025)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
by: Wang, Qiang, et al.
Published: (2025)

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
by: Gao, Xinyuan, et al.
Published: (2024)

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
by: Dong, Songlin, et al.
Published: (2024)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)

LPT: Less-overfitting Prompt Tuning for Vision-Language Model
by: Ding, Chenhao, et al.
Published: (2024)

Continual Novel Class Discovery via Feature Enhancement and Adaptation
by: Yu, Yifan, et al.
Published: (2024)

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
by: Goswami, Dipam, et al.
Published: (2024)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
by: He, Run, et al.
Published: (2025)

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
by: Han, Jizhou, et al.
Published: (2026)

Feature Expansion and enhanced Compression for Class Incremental Learning
by: Ferdinand, Quentin, et al.
Published: (2024)

P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning
by: Dong, Songlin, et al.
Published: (2026)

Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, et al.
Published: (2024)

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
by: Wan, Cong, et al.
Published: (2024)

VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
by: Wang, Qiang, et al.
Published: (2025)

Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery
by: Han, Jizhou, et al.
Published: (2026)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation
by: Ding, Chenhao, et al.
Published: (2025)

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning
by: Liu, Wenzhuo, et al.
Published: (2024)

CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
by: Ayromlou, Sana, et al.
Published: (2024)

Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers
by: Rao, Xuan, et al.
Published: (2026)

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)

Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
by: He, Haisen, et al.
Published: (2026)

EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
by: Harit, Anoushka, et al.
Published: (2025)

Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)

Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024)

MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
by: He, Zeyu, et al.
Published: (2025)

Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)

ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
by: Wang, Ye, et al.
Published: (2024)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)

Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
by: Bransby, Kit M., et al.
Published: (2024)

CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning
by: Chen, Tieyuan, et al.
Published: (2025)

Diversity Covariance-Aware Prompt Learning for Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)