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fixed a link and created seperate folder for readings;
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ReadMe.md

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@@ -21,7 +21,7 @@ Collection of papers and other resources for object detection and tracking using
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- **Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning** (CVPR 2017) (Seoul National University) ([pdf](https://drive.google.com/open?id=0B34VXh5mZ22cZUs2Umc1cjlBMFU), [project page](https://sites.google.com/view/cvpr2017-adnet))
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- ** End-to-end Active Object Tracking via Reinforcement Learning** (arxiv 30 May 2017) (Peking University, Tencent AI Lab) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/Visual%20Tracking%20by%20Reinforced%20Decision%20Making%20ax17_2.pdf), [arxiv](https://arxiv.org/abs/1705.10561)
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- **End-to-end Active Object Tracking via Reinforcement Learning** (arxiv 30 May 2017) (Peking University, Tencent AI Lab) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/End-to-end%20Active%20Object%20Tracking%20via%20Reinforcement%20Learning%20ax17_5.pdf), [arxiv](https://arxiv.org/abs/1705.10561)
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## Other potentially useful papers
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- **Deep Feature Flow for Video Recognition** ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Object%20Detection/Kaiming%20He%2C%20Mask%20R-CNN%2C%202017.pdf), [arxiv](https://arxiv.org/abs/1611.07715), [github](https://github.com/msracver/Deep-Feature-Flow)) by Microsoft Research

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