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

Figure 1

Implementation principle (the model uses different data inputs through different learning stages in the learning process; denotes the second stage of the meta-learning process; denotes the first stage of the new task learning process, which is included in the distillation process, and we set up the model to employ different distillation processes in different network structures).