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GitHub - foolwood/DaSiamRPN: Distractor-aware Siamese Networks for Visual Object...
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README.md
DaSiamRPN
This repository includes PyTorch code for reproducing the results on VOT2018.
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu*, Qiang Wang*, Bo Li*, Wei Wu, Junjie Yan, and Weiming Hu
European Conference on Computer Vision (ECCV), 2018
Introduction
SiamRPN formulates the task of visual tracking as a task of localization and identification simultaneously, initially described in an CVPR2018 spotlight paper. (Slides at CVPR 2018 Spotlight)
DaSiamRPN improves the performances of SiamRPN by (1) introducing an effective sampling strategy to control the imbalanced sample distribution, (2) designing a novel distractor-aware module to perform incremental learning, (3) making a long-term tracking extension. ECCV2018.
Prerequisites
CPU: Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz GPU: NVIDIA GTX1060
- python2.7
- pytorch == 0.3.1
- numpy
- opencv
Pretrained model for SiamRPN
In our tracker, we use an AlexNet variant as our backbone, which is end-to-end trained for visual tracking.
The pretrained model can be downloaded from google drive: SiamRPNBIG.model.
Then, you should copy the pretrained model file SiamRPNBIG.model
to the subfolder './code', so that the tracker can find and load the pretrained_model.
Detailed steps to install the prerequisites
- install pytorch, numpy, opencv following the instructions in the
run_install.sh
. Please do not use conda to install. - you can alternatively modify
/PATH/TO/CODE/FOLDER/
intracker_SiamRPN.m
If the tracker is ready, you will see the tracking results. (EAO: 0.3827)
Results
All results can be downloaded from Google Drive.
VOT2015
A / R / EAO
VOT2016
A / R / EAO
VOT2017 & VOT2018
A / R / EAO
OTB2015
OP / DP
UAV123
AUC / DP
UAV20L
AUC / DP
SiamRPN
CVPR2017
0.58 / 1.13 / 0.349
0.56 / 0.26 / 0.344
0.49 / 0.46 / 0.244
81.9 / 85.0
0.527 / 0.748
0.454 / 0.617
DaSiamRPN
ECCV2018
0.63 / 0.66 / 0.446
0.61 / 0.22 / 0.411
0.56 / 0.34 / 0.326
86.5 / 88.0
0.586 / 0.796
0.617 / 0.838
DaSiamRPN
VOT2018
-
-
0.59 / 0.28 / 0.383
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-
-
License
Licensed under an MIT license.
Citing DaSiamRPN
If you find DaSiamRPN and SiamRPN useful in your research, please consider citing:
@inproceedings{Zhu_2018_ECCV,
title={Distractor-aware Siamese Networks for Visual Object Tracking},
author={Zhu, Zheng and Wang, Qiang and Bo, Li and Wu, Wei and Yan, Junjie and Hu, Weiming},
booktitle={European Conference on Computer Vision},
year={2018}
}
@InProceedings{Li_2018_CVPR,
title = {High Performance Visual Tracking With Siamese Region Proposal Network},
author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2018}
}
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