ROLO:Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
来源：ArXiv：1607.05781v1 Jul 2016 Abstract： 本文研发了一种可以进行空间监督的循环卷积网络用以object tracking。该网络利用位置的历史信息和由神经网络学习到的特征。受bbox的影响，研究LSTM在temporal domain的回归能力，并且建议连接由卷积网络产生的高层次的视觉特征with region information。本文特色是回归，使用回
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相关文章
- 1. Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 2. MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
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