Cover Image

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuyang, Hong, Qiuhe, Huang, Linlan, Gomez-Villa, Alexandra, Goswami, Dipam, Liu, Xialei, van de Weijer, Joost, Tian, Yonghong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
by: Goswami, Dipam, et al.
Published: (2023)

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
by: Goswami, Dipam, et al.
Published: (2024)

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

GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning
by: Peng, Tiantian, et al.
Published: (2025)

Exemplar-free Continual Representation Learning via Learnable Drift Compensation
by: Gomez-Villa, Alex, et al.
Published: (2024)

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era
by: Hong, Qiuhe, et al.
Published: (2026)

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

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
by: Goswami, Dipam, et al.
Published: (2025)

Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
by: Yu, Lu, 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)

CLA: Latent Alignment for Online Continual Self-Supervised Learning
by: Cignoni, Giacomo, et al.
Published: (2025)

Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
by: Goswami, Dipam, et al.
Published: (2024)

Assessing Open-world Forgetting in Generative Image Model Customization
by: Laria, Héctor, et al.
Published: (2024)

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
by: Magistri, Simone, et al.
Published: (2026)

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

Routing without Forgetting
by: Masano, Alessio, et al.
Published: (2026)

Generative Multi-modal Models are Good Class-Incremental Learners
by: Cao, Xusheng, et al.
Published: (2024)

Replay-free Online Continual Learning with Self-Supervised MultiPatches
by: Cignoni, Giacomo, et al.
Published: (2025)

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

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
by: Wang, Zhenyi, et al.
Published: (2023)

Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
by: Qin, Jiang, et al.
Published: (2025)

Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
by: Rota, Claudio, et al.
Published: (2023)

Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
by: Marouf, Imad Eddine, et al.
Published: (2025)

IterInv: Iterative Inversion for Pixel-Level T2I Models
by: Tang, Chuanming, et al.
Published: (2023)

Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy
by: Bouguerra, Aymen, et al.
Published: (2025)

GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models
by: Butt, Muhammad Atif, et al.
Published: (2025)

NumColor: Precise Numeric Color Control in Text-to-Image Generation
by: Butt, Muhammad Atif, et al.
Published: (2026)

The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
by: Kamath, Sandesh, et al.
Published: (2024)

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
by: Butt, Muhammad Atif, et al.
Published: (2024)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)

Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
by: Wang, Kai, et al.
Published: (2024)

LocInv: Localization-aware Inversion for Text-Guided Image Editing
by: Tang, Chuanming, et al.
Published: (2024)

AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking
by: Tang, Chuanming, et al.
Published: (2023)

KAC: Kolmogorov-Arnold Classifier for Continual Learning
by: Hu, Yusong, et al.
Published: (2025)

Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
by: Laria, Héctor, et al.
Published: (2025)

Continual Learning and Catastrophic Forgetting
by: van de Ven, Gido M., et al.
Published: (2024)

The Art of Deception: Color Visual Illusions and Diffusion Models
by: Gomez-Villa, Alex, et al.
Published: (2024)

Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
by: Villa-Vásquez, José-Fabian, et al.
Published: (2024)

EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
by: Magistri, Simone, et al.
Published: (2025)