Hello @Preetham_R_Patlolla,
Thank you for your answer! The idea is good but I think it won’t be suitable for my task because the goal is to detect anomalies (even unknown ones) while the paper is about detecting training-time known objects. Moreover, I didn’t mention that the synthetic data have been provided to me by someone else but there is plenty of it (more than 15k against 350 real ones). I was thinking about anomaly detector with GANs. My intuition is to try to translate synthetic images in realistic ones (maybe using StyleGAN) and then train an anomaly detector on synthetic realistic images without any anomalies in order to detect them at inference time.