Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion

22 July 2022

Papers citing "Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion"

4 / 4 papers shown

Title
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 19 0 0 18 Jul 2024
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 19 9 0 05 Apr 2023
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 31 34 0 13 Jul 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 41 25 0 22 Jan 2022