What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. (arXiv:2203.07662v2 [cs.CV] UPDATED)

In object detection, false negatives arise when a detector fails to detect a
target object. To understand why object detectors produce false negatives, we
identify five 'false negative mechanisms', where each mechanism describes how a
specific component inside the detector architecture failed. Focusing on
two-stage and one-stage anchor-box object detector architectures, we introduce
a framework for quantifying these false negative mechanisms. Using this
framework, we investigate why Faster R-CNN and RetinaNet fail to detect objects
in benchmark vision datasets and …

arxiv black box cv false inside negative