Before revision:  The proposed model is robust to occlusion, scale  and illumination, thereby outperforms the state-of-the-art models in terms of improvement over baseline.
After revision:  The proposed model is robust to occlusion, scale and illumination, thereby outperforms the state-of-the-art GAN based models in 4 benchmark datasets. It also surpasses the state-of-the-art models that report higher re-ID accuracy in terms of improvement over baseline.