Query-based Hard-Image Retrieval for Object Detection at Test Time. (arXiv:2209.11559v1 [cs.CV])

There is a longstanding interest in capturing the error behaviour of object
detectors by finding images where their performance is likely to be
unsatisfactory. In real-world applications such as autonomous driving, it is
also crucial to characterise potential failures beyond simple requirements of
detection performance. For example, a missed detection of a pedestrian close to
an ego vehicle will generally require closer inspection than a missed detection
of a car in the distance. The problem of predicting such potential failures …

arxiv detection image query retrieval test