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CLIP-Adapter: Better Vision-Language Models with Feature Adapters
International Journal of Computer Vision · 2023 · Vol. 132(2) · pp. 581–595
Peng Gao✉(Shanghai Artificial Intelligence Laboratory)Shijie Geng(Rutgers, The State University of New Jersey)Renrui Zhang(Shanghai Artificial Intelligence Laboratory)Teli Ma(Shanghai Artificial Intelligence Laboratory)Rongyao Fang(Chinese University of Hong Kong)Yongfeng Zhang(Rutgers, The State University of New Jersey)Hongsheng Li(Chinese University of Hong Kong)Yu Qiao(Shanghai Artificial Intelligence Laboratory)
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval TechniquesComputer scienceAdapter (computing)Artificial intelligenceVocabularyFeature learningFeature (linguistics)Context (archaeology)BottleneckNatural language processingSpeech recognition
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References
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
ACM Computing Surveys · 2022 · 3,436 citations
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision · 2022 · 2,413 citations
Advances in neural information processing systems 7
Computers & Mathematics with Applications · 1996 · 14,367 citations
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