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Found 3 papers, 3 papers with code
Understanding Silent Failures in Medical Image Classification
Based on the result that none of the benchmarked CSFs can reliably prevent silent failures, we conclude that a deeper understanding of the root causes of failures in the data is required.
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Thus, today's AL literature presents an inconsistent and contradictory landscape, leaving practitioners uncertain about whether and how to use AL in their tasks.
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
To demonstrate the relevance of this unified perspective, we present a large-scale empirical study for the first time enabling benchmarking confidence scoring functions w. r. t all relevant methods and failure sources.
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