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Semantic Segmentation on KITTI-6 (test)

87.02mIoULight-Weight RefineNet
74.311277.610680.9184.2094Sep 13, 2018

Evaluation results

MethodLinks
Light-Weight RefineNetRegime=Segm, Depth, Parameters=2.99M, Input Size=1200x350, GFLOPs=6.45, speed=16.9±0.1 ms2018.0987.02
Fast Res. ForestsRegime=Segm, Input Size=1200x350, speed=106.35 ms2018.0984.9
Wang et al.Regime=Segm2018.0974.8