SlowGuess/NeurIPS_2023_OCR huggingface dataset:
unfairness. Indeed, if one trains the model by these biased labels, it may unpleasantly yield unfair and biased predictions on the basis of characteristics like race, gender, disabilities, LGBTQ, or political orientation. Therefore, when deploying our DesERT framework, it is recommended to equip it with some auxiliary tools for labeling censorship so as to improve overall fairness and ethical standards. Grounded on this, we would suggest regarding our DesERT framework as an auxiliary weakly-supervised annotation tool for assisting human annotations.