Fig. 1. Classification response map of SiamRPN

Fig. 2. Schematic diagram of the two-stage tracking method based on Siamese network

Fig. 3. Features extracted by different networks

Fig. 4. Comparative analysis of network outputs after applying correlation filter modulation

Fig. 5. Schematic diagram of the verification network

Fig. 6. Comparison of classification distances of the inter-object and intra-object

Fig. 7. Comparison of classification distance between different sampling groups

Fig. 8. Evaluation on the OTB100 benchmark: Precision plot and success plot

Fig. 9. AR scores in baseline test condition

Fig. 10. Overlap rate curves in unsupervised condition

Fig. 11. Test results on the UAV123 dataset: Precision plot and success plot

Fig. 12. Qualitative evaluation of challenging sequences

Fig. 13. Ability to deal with the similar interference of the two-stage Siamese network

Fig. 14. Comparison of regression precision of the two-stage Siamese network

Fig. 15. Running time test of each module