Fifteenth International Conference on Machine Vision (ICMV 2022) 2023
DOI: 10.1117/12.2679442
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How certain are tansformers in image classification: uncertainty analysis with Monte Carlo dropout

Abstract: Researchers have been inspired to implement transformer models in solving machine vision problems after their tremendous success with natural language tasks. Using the straightforward architecture and swift performance of transformers, a variety of computer vision problems can be solved with more ease and effectiveness. However, a comparative evaluation of their uncertainty in prediction has not been done yet. As we know, real world applications require a measure of uncertainty to produce accurate predictions,… Show more

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