Submitted by
pawnesh gautam
Authors
pawnesh gautam
Venue
TU Kaiserslautern
Abstract
UDSSEG_RVC
Runtime
150 ms
External data used
ade, cityscapes, scannet, vistas, wilddash
Links
  • There is no link to the paper.
  • There is no link to the code.
  • There is no link to the project website.
Number of submissions
1

Detailed results
Class IoU (day) IoU (sunset) IoU (rain) IoU (snow) IoU (night) IoU (mean)
Sky96.897.497.196.494.496.4
Road89.095.297.197.296.795.1
Sidewalk81.483.779.289.789.084.6
Terrain65.073.974.372.172.671.6
Tree84.080.982.082.280.181.8
Vegetation74.862.768.768.469.368.8
Building84.784.381.586.183.684.0
Infrastructure52.461.658.665.562.960.2
Fence33.026.123.028.426.227.3
Billboard59.760.262.151.157.758.1
Trafficlight73.067.667.077.164.169.7
Trafficsign41.559.080.838.473.658.6
Mobilebarrier50.028.449.622.525.735.2
Firehydrant46.650.267.467.365.459.4
Chair27.137.215.033.841.931.0
Trash0.00.00.00.00.00.0
Trashcan75.558.557.455.658.961.2
Person86.881.480.974.077.680.2
Motorcycle96.881.518.669.364.566.1
Car96.797.396.999.097.997.6
Van78.25.140.917.758.640.1
Bus81.581.789.457.593.480.7
Truck94.288.892.291.788.891.1
Mean68.263.664.362.767.165.2