A Evaluation Information

Neural Information Processing Systems 

To evaluate the change that image corruptions have to face detection systems, we measure the precision of the corrupted images while using the detections from the clean image as ground truth. While this approach obviates the need for real ground truth bounding boxes, it is also a principled measurement strategy for our main research question. Since we are primarily interested in how the system is affected by the corruption, this metric is superior to using real ground truth bounding boxes. This follows because we're interested in isolating the change in a system under a corruption which is exactly what this method measures. To compute precision, we first observe the face detections on each clean image.

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