Research Article

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

Table 5

Experiment (a) number of base classes 10, 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∼1074.578.468.452.559.375.584.777.953.781.970.7

+11iOD74.977.770.349.456.974.084.182.452.082.663.669.8
Ours75.777.770.246.160.773.984.482.051.082.863.569.8

+12iOD64.975.862.942.255.173.078.274.045.374.255.676.864.8
Ours66.674.664.343.055.473.382.276.246.274.759.378.066.1

+13iOD58.771.756.839.852.871.377.573.042.269.252.771.479.162.8
Ours63.269.361.441.653.171.678.175.143.768.056.674.680.864.4

+14iOD54.967.653.036.348.868.975.964.241.269.153.469.877.472.760.9
Ours56.870.756.039.548.670.377.070.242.868.753.272.378.772.062.6

+15iOD57.868.950.636.447.267.775.466.736.264.855.167.375.470.674.561.0
Ours60.571.554.140.649.070.077.168.440.566.752.169.878.171.674.663.0

+16iOD48.263.643.429.737.460.370.561.735.463.551.961.773.067.472.130.554.4
Ours55.364.847.933.744.064.975.463.738.266.952.067.075.669.972.732.357.8

+17iOD44.460.839.528.234.856.069.052.330.553.644.854.871.964.170.229.537.849.5
Ours49.763.939.931.439.861.173.255.232.756.048.165.173.165.871.033.536.952.7

+18iOD44.157.337.026.333.051.769.051.228.350.241.855.065.960.568.225.936.037.946.6
Ours48.264.038.528.839.660.869.752.730.354.343.459.769.563.671.229.638.042.650.2

+19iOD44.356.134.523.832.456.168.645.427.047.839.852.563.960.166.024.238.337.644.545.4
Ours45.759.836.328.137.759.669.451.928.453.142.456.565.563.367.526.740.343.546.048.5

+20iOD38.253.934.124.525.252.164.246.126.248.334.947.163.658.264.924.735.731.237.950.143.1
Ours44.557.534.327.732.257.168.149.028.753.041.953.264.862.165.825.937.538.340.652.846.8