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Edge Accuracy on NYU-Depth V2 (test)

79.4PrecisionXu et al.
29.68842.59455.568.406Mar 23, 2018Jun 10, 2018Aug 29, 2018Nov 16, 2018Feb 4, 2019Apr 24, 2019Jul 13, 2019

Evaluation results

MethodLinks
Xu et al.Threshold=>1, Joint task learning=false2018.0379.440.752.5
Xu et al.Threshold=1.02019.0779.440.752.5
SENet-154 (Ours)Threshold=>1, Joint task learning=false2018.0375.95462.3
Hu et al.Threshold=1.02019.0775.95462.3
SARPNThreshold=1.02019.0774.955.463
Eigen and FergusThreshold=>1, Joint task learning=true2018.0373.348.857.4
Laina et alThreshold=>1, Joint task learning=false2018.036747.954.8
Laina et al.Threshold=1.02019.076747.954.8
SENet-154 (Ours)Threshold=>0.5, Joint task learning=false2018.0366.850.556.8
Hu et al.Threshold=0.52019.0766.850.556.8
SARPNThreshold=0.52019.0766.352.357.8
SARPNThreshold=0.252019.0764.55257
SENet-154 (Ours)Threshold=>0.25, Joint task learning=false2018.0364.450.856.2
Hu et al.Threshold=0.252019.0764.450.856.2
Xu et al.Threshold=>0.5, Joint task learning=false2018.036036.643.9
Xu et al.Threshold=0.52019.076036.643.9
Eigen and FergusThreshold=>0.5, Joint task learning=true2018.0358.745.650.1
Eigen and FergusThreshold=>0.25, Joint task learning=true2018.0354.448.150
Laina et alThreshold=>0.5, Joint task learning=false2018.0353.642.246.3
Laina et al.Threshold=0.52019.0753.642.246.3
Xu et al.Threshold=>0.25, Joint task learning=false2018.0351.64043.6
Xu et al.Threshold=0.252019.0751.64043.6
Laina et alThreshold=>0.25, Joint task learning=false2018.0348.943.545.4
Laina et al.Threshold=0.252019.0748.943.545.4
Fu et al.Threshold=>1, Joint task learning=false2018.0348.351.248.5
Fu et al.Threshold=1.02019.0748.351.248.5
Fu et al.Threshold=>0.25, Joint task learning=false2018.033258.340.2
Fu et al.Threshold=0.252019.073258.340.2
Fu et al.Threshold=>0.5, Joint task learning=false2018.0331.647.341.2
Fu et al.Threshold=0.52019.0731.647.341.2