• DOI:10.1109/CVPR.2018.00937
Corpus ID: 4803532

VITAL: VIsual Tracking via Adversarial Learning

@article{Song2018VITALVT,
  title={VITAL: VIsual Tracking via Adversarial Learning},
  author={Yibing Song and Chao Ma and Xiaohe Wu and L. Gong and Linchao Bao and W. Zuo and Chunhua Shen and R. Lau and Ming-Hsuan Yang},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={8990-8999}
}

Yibing Song, Chao Ma, +6 authors Ming-Hsuan Yang

Published 2018

Computer Science

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

The tracking-by-detection framework consists of two stages, i.e., drawing samples around the target object in the first stage and classifying each sample as the target object or as background in the second stage. [...] Key Method To augment positive samples, we use a generative network to randomly generate masks, which are applied to adaptively dropout input features to capture a variety of appearance changes.Expand Abstract

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