[ALGORITHM]
@inproceedings{li2019siamrpn++,
title={Siamrpn++: Evolution of siamese visual tracking with very deep networks},
author={Li, Bo and Wu, Wei and Wang, Qiang and Zhang, Fangyi and Xing, Junliang and Yan, Junjie},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={4282--4291},
year={2019}
}We observe around 1.0 points fluctuations in Success and 1.5 points fluctuations in Norm percision. We provide the best model.
Note that all of checkpoints from 11-th to 20-th epoch need to be evaluated in order to achieve the best results.
| Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | Success | Norm precision | Config | Download |
|---|---|---|---|---|---|---|---|---|
| R-50 | - | 20e | 7.54 | 50.0 | 49.9 | 57.9 | config | model | log |