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Manipulating Template Pixels For Model Adaptation Of Siamese Visual Tracking | |
Li ZB(李振邦)![]() | |
发表期刊 | IEEE Signal Processing Letters
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2020 | |
期号 | 27页码:1690-1694 |
摘要 | In this letter, we show that the challenging model adaptation task in visual object tracking can be handled by simply manipulating pixels of the template image in Siamese networks. For a target that is not included in the offline training set, a slight modification of the template image pixels will improve the prediction result of the offline trained Siamese network. The popular adversarial example generation methods can be used to perform template pixel manipulation for model adaptation. Different from current template update methods, which aim to combine the target features from previous frames, we focus on the initial adaptation using target ground-truth in the first frame. Our model adaptation method is pluggable, in the sense that it does not alter the overall architecture of its base tracker. To our knowledge, this work is the first attempt to directly manipulating template pixels for model adaptation in Siamese-based trackers. Extensive experiments on recent benchmarks demonstrate that our method achieves better performance than some other state-of-the-art trackers. Our code is available at https://github.com/lizhenbang56/MTP. |
关键词 | Model adaptation siamese networks visual tracking |
收录类别 | SCI |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46612 |
专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
推荐引用方式 GB/T 7714 | Li ZB. Manipulating Template Pixels For Model Adaptation Of Siamese Visual Tracking[J]. IEEE Signal Processing Letters,2020(27):1690-1694. |
APA | Li ZB.(2020).Manipulating Template Pixels For Model Adaptation Of Siamese Visual Tracking.IEEE Signal Processing Letters(27),1690-1694. |
MLA | Li ZB."Manipulating Template Pixels For Model Adaptation Of Siamese Visual Tracking".IEEE Signal Processing Letters .27(2020):1690-1694. |
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论文2 Manipulating Tem(1206KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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