Cover Image

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panos, Aristeidis, Kobe, Yuriko, Reino, Daniel Olmeda, Aljundi, Rahaf, Turner, Richard E.
Format:	Preprint
Published:	2023
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

Efficient Few-Shot Continual Learning in Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2025)

Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2024)

Annotation Free Semantic Segmentation with Vision Foundation Models
by: Seifi, Soroush, et al.
Published: (2024)

Personalization Toolkit: Training Free Personalization of Large Vision Language Models
by: Seifi, Soroush, et al.
Published: (2025)

Ego: Embedding-Guided Personalization of Vision-Language Models
by: Seifi, Soroush, et al.
Published: (2026)

Incremental Object-Based Novelty Detection with Feedback Loop
by: Caldarella, Simone, et al.
Published: (2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
by: Frascaroli, Emanuele, et al.
Published: (2024)

Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
by: Wang, Hongsong, et al.
Published: (2025)

Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)

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

Online In-Context Distillation for Low-Resource Vision Language Models
by: Kang, Zhiqi, et al.
Published: (2025)

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
by: Caldarella, Simone, et al.
Published: (2024)

Overcoming Generic Knowledge Loss with Selective Parameter Update
by: Zhang, Wenxuan, et al.
Published: (2023)

VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field
by: Xue, Fei, et al.
Published: (2024)

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
by: Zhao, Linglan, et al.
Published: (2021)

Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
by: Basso-Bert, Yanis, et al.
Published: (2025)

Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
by: Dorovatas, Vaggelis, et al.
Published: (2025)

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

Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings
by: Basso-Bert, Yanis, et al.
Published: (2025)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2025)

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
by: Gupta, Gunshi, et al.
Published: (2025)

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

Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
by: Deng, Peihua, et al.
Published: (2024)

SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
by: Kim, Junsu, et al.
Published: (2024)

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

Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
by: Kim, Junsu, et al.
Published: (2025)

Enhancing Plasticity for First Session Adaptation Continual Learning
by: Marouf, Imad Eddine, et al.
Published: (2023)

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

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

Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
by: Yu, Fanqi, et al.
Published: (2026)

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

ONER: Online Experience Replay for Incremental Anomaly Detection
by: Jin, Yizhou, et al.
Published: (2024)

IOR: Inversed Objects Replay for Incremental Object Detection
by: An, Zijia, et al.
Published: (2024)

Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation
by: Mi, Kerun, et al.
Published: (2025)

Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
by: Wang, Chenyang, et al.
Published: (2024)

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

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)