Research Article

A New Multinetwork Mean Distillation Loss Function for Open-World Domain Incremental Object Detection

Table 10

Experiment (e): 15-5.

MethodsAeroCycleBirdBoatBottleBusCarCatChairCowTableDogHorseBikePersonT0PlantSheepSofaTraintvmAp

1–207981.473.854.26179.190.778.653.681.564.177.880.977.482.747.368.16877.172.272.4
1–1571.576.167.546.756.669.484.474.450.374.553.869.277.573.278.368.268.2
Shmelkov et al.70.579.268.859.153.275.479.478.846.659.459.075.871.878.669.668.333.761.563.171.762.265.9
Faster ILOD66.578.171.854.661.468.482.682.752.174.363.178.680.578.480.471.636.761.759.367.959.167.9
iOD66.273.460.047.546.573.078.271.646.072.355.069.475.673.074.665.542.550.159.765.266.663.3
Ours73.475.460.846.249.771.178.374.246.669.859.272.576.973.774.966.941.450.861.869.364.264.5