Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch. Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{SchmarjeGZDKOPS22,
  title = {Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation},
  author = {Lars Schmarje and Vasco Grossmann and Claudius Zelenka and Sabine Dippel and Rainer Kiko and Mariusz Oszust and Matti Pastell and Jenny Stracke and Anna Valros and Nina Volkmann and Reinhard Koch},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/d6c03035b8bc551f474f040fe8607cab-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/SchmarjeGZDKOPS22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}