Wasserstein GAN

New WGAN method corrects sensor data drift using adversarial learning

Researchers have developed a novel method using Wasserstein Generative Adversarial Networks (WGANs) to correct distribution drift in sensor data caused by factors like motion or aging. This approach treats the generator…