Generative Multi-modal Models are Good Class-Incremental Learners

Generative Multi-modal Models are Good Class-Incremental Learners

27 March 2024

Ming-Ming Cheng

Papers citing "Generative Multi-modal Models are Good Class-Incremental Learners"

9 / 9 papers shown

Title
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering Deepayan Das Davide Talon Massimiliano Mancini Yiming Wang Elisa Ricci 39 0 0 04 Nov 2024
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 34 1 0 07 Jun 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 272 4,244 0 30 Jan 2023
CLIP model is an Efficient Continual Learner Vishal G. Thengane Salman Khan Munawar Hayat F. Khan BDL VLM CLL 112 46 0 06 Oct 2022
Long-Tailed Class Incremental Learning Xialei Liu Yu-Song Hu Xuezhi Cao Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 65 35 0 01 Oct 2022
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
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014