A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance-Reference-Cited by-同舟云学术

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A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Huang Zeyi¹,Zhou Andy²,Lin Zijian³,Cai Mu¹,Wang Haohan²,Lee Yong Jae¹

Affiliation:

1. University of Wisconsin-Madison

2. University of Illinois Urbana-Champaign

3. Imperial College London

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378073.pdf?arnumber=10378073

Reference83 articles.

1. Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization

2. Ensemble of averages: Improving model selection and boosting performance in domain generalization;Arpit,2021

3. Recognition in Terra Incognita

4. Agnostic domain generalization;Carlucci,2018

5. Swad: Domain generalization by seeking flat minima;Cha

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensembling disentangled domain-specific prompts for domain generalization;Knowledge-Based Systems;2024-10

2. Knowledge Distillation in Video-Based Human Action Recognition: An Intuitive Approach to Efficient and Flexible Model Training;Journal of Imaging;2024-03-30

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