How to Train Your Energy-Based Model for Regression

Benchmark Model Rank Results
visual-object-tracking-on-lasotDiMP-NCE+#38AUC: 63.7
visual-object-tracking-on-needforspeedDiMP-NCE+#10AUC: 0.65
visual-object-tracking-on-trackingnetDiMP-NCE+#38Normalized Precision: 83.7Precision: 73.7Success Rate: 0.787
visual-object-tracking-on-uav123DiMP-NCE+#15AUC: 0.672