Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration

Bohua Peng, Mobarakol Islam, Mei Tu. Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. In João Magalhães, Alberto Del Bimbo, Shin'ichi Satoh 0001, Nicu Sebe, Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni, editors, MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022. pages 979-987, ACM, 2022. [doi]

@inproceedings{PengIT22,
  title = {Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration},
  author = {Bohua Peng and Mobarakol Islam and Mei Tu},
  year = {2022},
  doi = {10.1145/3503161.3548289},
  url = {https://doi.org/10.1145/3503161.3548289},
  researchr = {https://researchr.org/publication/PengIT22},
  cites = {0},
  citedby = {0},
  pages = {979-987},
  booktitle = {MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022},
  editor = {João Magalhães and Alberto Del Bimbo and Shin'ichi Satoh 0001 and Nicu Sebe and Xavier Alameda-Pineda and Qin Jin and Vincent Oria and Laura Toni},
  publisher = {ACM},
  isbn = {978-1-4503-9203-7},
}