Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning

2 August 2024

Papers citing "Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning"

8 / 8 papers shown

Title
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 16 3 0 29 Oct 2024
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning Jiang-Tian Zhai Xialei Liu Lu Yu Ming-Ming Cheng CLL 18 8 0 20 Dec 2023
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan F. Khan VPVLM VLM 178 521 0 06 Oct 2022
CLIP model is an Efficient Continual Learner Vishal G. Thengane Salman Khan Munawar Hayat F. Khan BDL VLM CLL 91 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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 922 0 24 Sep 2019