ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval

Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu. ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. In Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng, editors, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III. Volume 13937 of Lecture Notes in Computer Science, pages 257-268, Springer, 2023. [doi]

@inproceedings{LiuZGSX23,
  title = {ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval},
  author = {Zhen Liu and Yongxin Zhu and Zhujin Gao and Xin Sheng and Linli Xu},
  year = {2023},
  doi = {10.1007/978-3-031-33380-4_20},
  url = {https://doi.org/10.1007/978-3-031-33380-4_20},
  researchr = {https://researchr.org/publication/LiuZGSX23},
  cites = {0},
  citedby = {0},
  pages = {257-268},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III},
  editor = {Hisashi Kashima and Tsuyoshi Idé and Wen-Chih Peng},
  volume = {13937},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-33380-4},
}