Experiment
Normalize all the input images to 608×1088, with an initial learning rate of 0.0001, and a batchszie of 4. Using the Adam optimizer, the learning rate decays to one percent of the initial learning rate after 100 epochs.
Figure 3 shows a visual display of the experimental results of Focus-MOT on MOT17 versus MOT15 datasets.