Unverified50% confidenceFactExact time
After transfer that meets the target limit, the threshold rejects most correct detections; under rainy conditions, the area under the receiver operating characteristic curve (AUC) does not decrease.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
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Related Claims
UnverifiedThreshold selection should reflect the task, the available resources, and the relative costs of the two types of errors: when the cost of a miss is extremely high, one tends to lower the threshold to raise recall, and when human review capacity is limited, precision and PR behavior become critical; the AUC value itself will not choose the threshold for you.71% similarUnverifiedWhen counting by frame, the same data yields "not applicable" results under pre-fixed limits for long-range transfer, rainy transfer, and transfer between two independently trained detectors.64% similarUnverifiedAn abstention threshold tuned on one benchmark performs poorly after switching to another benchmark, and the threshold needs to be recalibrated for the target environment.64% similarUnverifiedThe default 0.5 threshold is not the optimal solution for any metric; threshold choice should be based on the cost of misjudgment—when missing positive samples is costly, move the threshold left to raise recall, and when false positives are costly, move it right to raise precision.61% similarUnverifiedConfidence thresholds should route low-quality extraction results to human review, rather than sending them directly into downstream automation.60% similar
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