Challenge,Method pixellevel,"DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes" "Class level" Metric,Average,road,sidewalk,building,wall,fence,pole,trafficlight,trafficsign,vegetation,terrain,sky,person,rider,car,truck,bus,train,motorcycle,bicycle IoU,71.3938,96.8368,78.5272,91.2178,50.5392,50.836,59.3746,64.0446,71.7082,92.6324,69.9703,94.5284,81.3252,61.838,92.8713,56.1423,75.616,50.6185,50.9864,66.8683 iIoU,42.9331,,,,,,,,,,,,61.1793,34.6265,85.7322,23.8347,39.198,24.4622,27.5764,46.8559 "Category level" Metric,Average,flat,nature,object,sky,construction,human,vehicle IoU,87.9738,97.9754,92.2958,65.5684,94.5284,91.7907,81.6466,92.0111 iIoU,72.4669,,,,,,62.196,82.7377