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 self- attention based faster r-cnn for polyp detection from colonoscopy images.Biomed- ical Signal Processing and Control, 70:103019, 2021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.