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Improving CLIP Robustness with Knowledge Distillation and Self-Training

Improving CLIP Robustness with Knowledge Distillation and Self-Training

19 September 2023

Clement Laroudie

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Papers citing "Improving CLIP Robustness with Knowledge Distillation and Self-Training"

6 / 6 papers shown

Title
Adapting Vision-Language Models Without Labels: A Comprehensive Survey Hao Dong Lijun Sheng Jian Liang Ran He Eleni Chatzi Olga Fink OffRL VLM 172 3 0 07 Aug 2025
Cascade Prompt Learning for Vision-Language Model AdaptationEuropean Conference on Computer Vision (ECCV), 2024 Ge Wu Xin Zhang Zheng Li Zhaowei Chen Jiajun Liang Jian Yang Xiang Li VLM 268 22 0 26 Sep 2024
Revisiting Prompt Pretraining of Vision-Language Models Zhenyuan Chen Lingfeng Yang Shuo Chen Zhaowei Chen Jiajun Liang Xiang Li MLLM VPVLM VLM 308 4 0 10 Sep 2024
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model Yifan Chen Xiaozhen Qiao Zhe Sun Xuelong Li VLM 377 8 0 08 Aug 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li Xiang Li Xinyi Fu Xing Zhang Weiqiang Wang Shuo Chen Jian Yang VLM 256 80 0 05 Mar 2024
A Simple Recipe for Language-guided Domain Generalized SegmentationComputer Vision and Pattern Recognition (CVPR), 2023 Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Patrick Pérez Raoul de Charette VLM 226 29 0 29 Nov 2023