Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP

Cite

Text

Li et al. "Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I5.32534

Markdown

[Li et al. "Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/li2025aaai-text/) doi:10.1609/AAAI.V39I5.32534

BibTeX

@inproceedings{li2025aaai-text,
  title     = {{Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP}},
  author    = {Li, Yayuan and Guo, Jintao and Qi, Lei and Li, Wenbin and Shi, Yinghuan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {5039-5047},
  doi       = {10.1609/AAAI.V39I5.32534},
  url       = {https://mlanthology.org/aaai/2025/li2025aaai-text/}
}