Research Article

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

Table 7

Experiment (c) number of base classes 15 and number of incremental task learning classes 1 (%).

Class orderMethodsAeroCycleBirdBoatBottleBusCarCatChairCowTableDogHorseBikePersonPlantSheepSofaTraintvmAp

1–207981.473.854.26179.190.778.653.681.564.177.880.977.482.747.368.16877.172.272.4

1–1571.576.167.546.756.669.484.474.450.374.553.869.277.573.278.368.2

+16iOD72.175.264.348.549.267.682.574.146.868.955.976.277.771.775.534.865.1
Ours76.776.567.050.053.166.982.975.047.368.457.376.579.273.675.534.766.3

+17iOD63.171.857.448.547.367.678.668.141.067.654.969.375.769.774.135.443.660.8
Ours67.575.659.149.450.269.078.870.941.769.556.370.776.972.974.535.044.662.5

+18iOD59.066.954.941.941.566.077.564.538.565.247.165.871.966.772.132.943.846.656.8
Ours63.273.758.543.647.769.478.165.937.868.452.568.274.068.273.432.946.546.659.4

+19iOD52.664.649.836.740.266.176.564.236.362.146.861.168.664.571.130.242.444.052.754.2
Ours56.568.254.839.542.669.677.870.437.164.448.166.673.169.672.330.644.146.149.156.9

+20iOD51.162.245.932.434.263.473.860.233.058.342.556.965.663.765.527.137.043.848.353.450.9
Ours54.366.152.535.340.267.176.264.434.764.046.760.872.166.371.027.639.847.052.057.054.8

The bold values represent the mAP optimal values of iOD compared with our method.