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Multiple Object Forecasting on Citywalks (3 train-test splits)

26ADESTED
25.66827.90930.1532.391Sep 26, 2019

Evaluation results

MethodLinks
STEDDetector=Mask-RCNN2019.092646.951.827.5
DTPDetector=Mask-RCNN2019.0926.748.5——
DTP-MOFDetector=Mask-RCNN2019.0927.349.249.625.1
STEDDetector=YOLOv32019.0927.449.856.832.9
FPLDetector=Mask-RCNN2019.0928.649.8——
DTPDetector=YOLOv32019.0928.752.4——
DTP-MOFDetector=YOLOv32019.092952.254.630.8
FPL-MOFDetector=Mask-RCNN2019.0929.35144.922.6
FPLDetector=YOLOv32019.0930.253.4——
CV-CSDetector=Mask-RCNN2019.0931.657.64621.3
FPL-MOFDetector=YOLOv32019.0931.655.75330.9
CV-CSDetector=YOLOv32019.0932.960.551.426.7
LKFDetector=Mask-RCNN2019.0932.95943.920.1
LKFDetector=YOLOv32019.0934.362.149.125.5