Towards Good Practices for Efficiently Annotating Large-Scale Image
Classification Datasets

Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets

26 April 2021

Sanja Fidler

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Papers citing "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets"

5 / 5 papers shown

Title
OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs Bernardon Silva Laís Pinheiro B. Sobrinho Fernanda Lima B. Sobrinho Kalyf Abdalla M. Pithon Patrícia Cury Luciano Oliveira 59 4 0 29 Mar 2022
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 90 35 0 25 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation Haoping Bai Mengyao Cao Ping Huang Jiulong Shan SSL 68 11 0 22 Nov 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 147 261 0 22 Oct 2021
Learning From Long-Tailed Data With Noisy Labels Shyamgopal Karthik Jérôme Revaud Boris Chidlovskii SSL NoLa 78 27 0 25 Aug 2021

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