Cover Image

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiashuo, Wang, Shaokun, Qian, Bo, He, Yuhang, Wei, Xing, Wang, Qiang, Gong, Yihong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
by: Gao, Xinyuan, et al.
Published: (2024)

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

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

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

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

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

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

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

GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
by: Lu, Shiwei, et al.
Published: (2026)

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

Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
by: Wang, Yan, et al.
Published: (2025)

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

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

Class Incremental Learning via Likelihood Ratio Based Task Prediction
by: Lin, Haowei, et al.
Published: (2023)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)

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

IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework
by: Wang, Shaokun, et al.
Published: (2026)

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

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

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

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

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

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

NuWa: Deriving Lightweight Task-Specific Vision Transformers for Edge Devices
by: Wei, Ziteng, et al.
Published: (2025)

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

Covariance-based Space Regularization for Few-shot Class Incremental Learning
by: Hu, Yijie, 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)

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

Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
by: Wang, Xi, et al.
Published: (2026)

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

Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025)

PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
by: Baoa, Kexin, et al.
Published: (2026)

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

A Simple Efficiency Incremental Learning Framework via Vision-Language Model with Nonlinear Multi-Adapters
by: Luo, Haihua, et al.
Published: (2026)

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

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)

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

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
by: Oh, Junghun, et al.
Published: (2024)