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Drivable Region Segmentation on Thermal-Road (test)

9.89Error Rate (campus)PLMp
8.601617.298325.99534.6917Aug 17, 2017

Evaluation results

MethodLinks
PLMpBackbone=Pre-trained with color images, Fine-tuning=Single initial frame2017.089.8910.411.510.6
FCNArchitecture=CNN, Supervision=Fully supervised with Thermal-Road datasets2017.0810.36.349.779.45
TDFeature Type=Hand-crafted feature based, Description=Thermal-infrared based drivable region detection2017.0810.71412.611.8
PLMBackbone=Pre-trained with color images, Fine-tuning=Single initial frame2017.0811.311.411.9511.5
CN24Architecture=CNN2017.0836.421.12836.7
AlexNetArchitecture=CNN2017.0842.141.129.139