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

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

13 / 13 papers shown

Title
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation Hsuan Wei Liao Christopher Klugmann Daniel Kondermann Rafid Mahmood 30 0 0 12 Apr 2025
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems Neha R. Gupta Jessica Hullman Hari Subramonyam FaML 42 3 0 05 Aug 2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review Oluwatosin O. Alabi Tom Kamiel Magda Vercauteren Miaojing Shi 18 1 0 16 Jan 2024
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical Validation Lars Schmarje Vasco Grossmann Claudius Zelenka Johannes Brunger Reinhard Koch 27 1 0 21 Jun 2023
Learning to Defer with Limited Expert Predictions Patrick Hemmer Lukas Thede Michael Vossing Johannes Jakubik Niklas Kühl 25 13 0 14 Apr 2023
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 19 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 24 34 0 25 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation Haoping Bai Mengyao Cao Ping-Chia Huang Jiulong Shan SSL 17 10 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 33 239 0 22 Oct 2021
Learning From Long-Tailed Data With Noisy Labels Shyamgopal Karthik Jérôme Revaud Boris Chidlovskii SSL NoLa 11 27 0 25 Aug 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 264 3,369 0 09 Mar 2020
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation A. Babier Timothy C. Y. Chan Adam Diamant Rafid Mahmood 20 1 0 23 May 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 246 1,275 0 06 Mar 2017