Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning

Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher. Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Volume 11139 of Lecture Notes in Computer Science, pages 176-187, Springer, 2018. [doi]

@inproceedings{LindhRMSK18,
  title = {Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning},
  author = {Annika Lindh and Robert J. Ross and Abhijit Mahalunkar and Giancarlo Salton and John D. Kelleher},
  year = {2018},
  doi = {10.1007/978-3-030-01418-6_18},
  url = {https://doi.org/10.1007/978-3-030-01418-6_18},
  researchr = {https://researchr.org/publication/LindhRMSK18},
  cites = {0},
  citedby = {0},
  pages = {176-187},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I},
  editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis},
  volume = {11139},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01418-6},
}