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.
An end-to-end tracking method for polyp detectors in colonoscopy videos.Artificial intelligence in medicine, 131:102363, 2022
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.