Rethinking Class-incremental Learning in the Era of Large Pre-trained
Models via Test-Time Adaptation

Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation

17 October 2023

Imad Eddine Marouf

Enzo Tartaglione

Stéphane Lathuilière

Papers citing "Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation"

9 / 9 papers shown

Title
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution Haori Lu Xusheng Cao Linlan Huang Enguang Wang Fei Yang Xialei Liu CLL 47 0 0 21 Mar 2025
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models Lukas Thede Karsten Roth Olivier J. Hénaff Matthias Bethge Zeynep Akata CLL 44 5 0 13 Jun 2024
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning Mark D Mcdonnell Dong Gong Ehsan Abbasnejad Anton Van Den Hengel VLM DiffM 83 3 0 12 Mar 2024
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 103 42 0 23 Mar 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 146 638 0 26 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 339 2,267 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020