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Object Detection Benchmarks are Incomplete: The Role of Label Errors and Annotation Uncertainty
Re-annotation reveals object detection benchmarks miss up to 60% of objects due to incomplete labels, and current detectors remain misaligned with human perception.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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