Cover Image

Generative Multi-modal Models are Good Class-Incremental Learners

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Xusheng, Lu, Haori, Huang, Linlan, Liu, Xialei, Cheng, Ming-Ming
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

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
by: Cao, Xusheng, et al.
Published: (2025)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
by: Huang, Linlan, et al.
Published: (2024)

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
by: Huang, Linlan, et al.
Published: (2025)

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
by: Lu, Haori, et al.
Published: (2025)

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2025)

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2024)

Feature-Space Generative Models for One-Shot Class-Incremental Learning
by: Foster, Jack, et al.
Published: (2026)

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

Visual Hallucinations of Multi-modal Large Language Models
by: Huang, Wen, et al.
Published: (2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
by: Agrawal, Susmit, et al.
Published: (2025)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

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

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

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

Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023)

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
by: Xie, Zhengyuan, et al.
Published: (2024)

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

Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2025)

Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)

Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)

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

Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)

Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management
by: Kurpukdee, Nattapong, et al.
Published: (2026)

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

VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments
by: Yang, Bufang, et al.
Published: (2024)

Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
by: Wei, Xiyuan, et al.
Published: (2025)

MFM-point: Multi-scale Flow Matching for Point Cloud Generation
by: Molodyk, Petr, et al.
Published: (2025)

Cross-modal Affinity-aligned Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Game-Based Learning
by: Tsai, Wen-Hsin, et al.
Published: (2026)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
by: Kim, Minsu, et al.
Published: (2025)

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
by: Yoon, Heegeon, et al.
Published: (2026)

Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
by: Mena, Francisco, et al.
Published: (2025)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
by: Sun, Xintian, et al.
Published: (2024)

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
by: Liu, Xialei, et al.
Published: (2022)

CPO: Condition Preference Optimization for Controllable Image Generation
by: Lyu, Zonglin, et al.
Published: (2025)

Multi-modal Vision Pre-training for Medical Image Analysis
by: Rui, Shaohao, et al.
Published: (2024)

OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
by: Hsu, Chih-Chung, et al.
Published: (2024)

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
by: Liu, Tao, et al.
Published: (2025)

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
by: Ming, Yifei, et al.
Published: (2024)