EfficientPS Demo Deep Convolutional Neural Networks for Panoptic Segmentation This demo shows the panoptic segmentation performance of our EfficeintPS model trained on four challenging urban scene understanding datasets. is currently on standard benchmark datasets such as Cityscapes, KITTI, Mapillary Vistas, and IDD. Additionally, EfficientPS is also ranked #2 on the Cityscapes semantic segmentation benchmark as well as #2 on the Cityscapes instance segmentation benchmark, among the published methods. To learn more about panoptic segmentation and the approach employed, please see the . View the demo by selecting a dataset to load from the drop down box below and click on an image in the carosel to see live results. The results are shown as an overlay of panoptic segmentation over the input image. The colors of the overlay denote what semantic category that the pixel belongs to and the instances of objects are indicated with a white boundary.