Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification - researchr publication related

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Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao 0007, Kunchang Li, Jifeng Dai, Yu Qiao 0001, Hongsheng Li 0001. Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXV. Volume 13695 of Lecture Notes in Computer Science, pages 493-510, Springer, 2022. [doi]

The following publications are possibly variants of this publication:

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIPYayuan Li, Jintao Guo, Lei Qi 0001, Wenbin Li 0006, Yinghuan Shi. AAAI 2025: 5039-5047 [doi]

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SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few-Shot Image ClassificationFang Peng, Xiaoshan Yang, Linhui Xiao, Yaowei Wang 0001, Changsheng Xu. tmm, 26:3469-3480, 2024. [doi]

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