TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training

Cite

Text

Lin et al. "TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I4.28139

Markdown

[Lin et al. "TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/lin2024aaai-tagclip/) doi:10.1609/AAAI.V38I4.28139

BibTeX

@inproceedings{lin2024aaai-tagclip,
  title     = {{TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training}},
  author    = {Lin, Yuqi and Chen, Minghao and Zhang, Kaipeng and Li, Hengjia and Li, Mingming and Yang, Zheng and Lv, Dongqin and Lin, Binbin and Liu, Haifeng and Cai, Deng},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {3513-3521},
  doi       = {10.1609/AAAI.V38I4.28139},
  url       = {https://mlanthology.org/aaai/2024/lin2024aaai-tagclip/}
}