Learning to See by Looking at Noise - Supplementary Material

Dead leaves - Textures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . For the experiments in Section 4.1, we follow the training procedure described in [ The dimensionality of the last and the penultimate embedding are 128 and 4096 respectively. For the experiments in Section 4.2, we follow the training procedure described in [ In bold, best synthetic dataset, underlined when it also outperforms training with real images. From left to right the columns correspond to the tasks: EuroSA T, Resisc45, Diabetic Retinopathy and Patch Camelyon. From left to right the columns correspond to the tasks: Clevr-Closest Object Distance, Clevr-Count, dSprites-Orientation, dSprites-Label X-position, SmallNORB-Elevation, sNORB-Azimuth, DMLab and KITTI-Closest V ehicle Distance.