A detector-guided adversarial diffusion attacker synthesizes polyp-like false positives that, when added to training data, improve polyp detector F1 by up to 3.9 percentage points.
A robust real-time deep learning based auto- matic polyp detection system.Computers in Biology and Medicine, 134:104519, 2021
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Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
A detector-guided adversarial diffusion attacker synthesizes polyp-like false positives that, when added to training data, improve polyp detector F1 by up to 3.9 percentage points.