Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

19 July 2024

Papers citing "Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion"

8 / 8 papers shown

Title
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning J. Guo Xiaoguang Zhu Liangyu Teng Hao Yang J. Liu Y. Liu Liang Song CLL VLM 52 1 0 25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning J. Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Y. Liu Di Li Wei Zhou Liang Song CLL VLM 57 1 0 24 Mar 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation Peihua Deng Jiehua Zhang Xichun Sheng C. Yan Yaoqi Sun Ying Fu Liang-Sheng Li CLL 71 1 0 25 Nov 2024
Class-Incremental Exemplar Compression for Class-Incremental Learning Zilin Luo Yaoyao Liu Bernt Schiele Qianru Sun VLM CLL 73 44 0 24 Mar 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models Zangwei Zheng Mingyu Ma Kai Wang Ziheng Qin Xiangyu Yue Yang You CLL VLM 84 29 0 12 Mar 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning F. Sarfraz Elahe Arani Bahram Zonooz KELM CLL 36 25 0 14 Feb 2023
CLIP model is an Efficient Continual Learner Vishal G. Thengane Salman Khan Munawar Hayat F. Khan BDL VLM CLL 88 43 0 06 Oct 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 319 2,108 0 02 Sep 2021