Cover Image

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Haori, Cao, Xusheng, Huang, Linlan, Wang, Enguang, Yang, Fei, Liu, Xialei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Generative Multi-modal Models are Good Class-Incremental Learners
by: Cao, Xusheng, 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)

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

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

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

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

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

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

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection
by: Peng, Zhimao, et al.
Published: (2025)

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

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
by: Zhu, Fei, et al.
Published: (2024)

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
by: Wang, Tianqi, et al.
Published: (2025)

Sharpness-aware Dynamic Anchor Selection for Generalized Category Discovery
by: Peng, Zhimao, et al.
Published: (2025)

Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
by: Zhang, Anqi, et al.
Published: (2024)

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

Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
by: Yao, Zhongren, et al.
Published: (2024)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
by: Duan, Ruxiao, et al.
Published: (2023)

TACLE: Task and Class-aware Exemplar-free Semi-supervised Class Incremental Learning
by: Kalla, Jayateja, et al.
Published: (2024)

ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
by: Yang, Yi, et al.
Published: (2024)

Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
by: Chen, Xiuwei, et al.
Published: (2023)

Exemplar Masking for Multimodal Incremental Learning
by: Lee, Yi-Lun, et al.
Published: (2024)

StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
by: Wang, Huaijie, et al.
Published: (2025)

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

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

FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
by: Hogea, Eduard, et al.
Published: (2024)

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
by: Sun, Wenju, et al.
Published: (2022)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
by: Cong, Wei, et al.
Published: (2024)

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

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
by: Rypeść, Grzegorz, et al.
Published: (2024)

Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning
by: Tan, Xiang, et al.
Published: (2026)

Learning to Classify New Foods Incrementally Via Compressed Exemplars
by: Yang, Justin, et al.
Published: (2024)

Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
by: Liu, Yuyang, et al.
Published: (2025)

Real-Time Loop Closure Detection in Visual SLAM via NetVLAD and Faiss
by: Fan, Enguang
Published: (2026)

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
by: Lu, Haoguang, et al.
Published: (2025)

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
by: Wu, Fangwen, et al.
Published: (2025)

Adaptive Prototype Replay for Class Incremental Semantic Segmentation
by: Zhu, Guilin, et al.
Published: (2024)