Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification

Wenjie Chen, Shuang Ran, Tian Wang, Lihong Cao. Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II. Volume 12892 of Lecture Notes in Computer Science, pages 118-130, Springer, 2021. [doi]

@inproceedings{ChenRWC21,
  title = {Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification},
  author = {Wenjie Chen and Shuang Ran and Tian Wang and Lihong Cao},
  year = {2021},
  doi = {10.1007/978-3-030-86340-1_10},
  url = {https://doi.org/10.1007/978-3-030-86340-1_10},
  researchr = {https://researchr.org/publication/ChenRWC21},
  cites = {0},
  citedby = {0},
  pages = {118-130},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12892},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86340-1},
}