Crowdsourcing platforms provide an efficient and cost-effective means to acquire the extensive labeled data necessary for supervised learning. However. the labels provided by untrained crowdsourcing workers often contain a considerable amount of noise. Although the application of ground truth inference algorithms to deduce integrated labels effectively enhances label quality. https://www.alarecre.com/
Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training
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