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Object Detection based on Region Decomposition and Assembly論文理解
時間 2020-12-30
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研究動機 目前主流的目標檢測算法分爲 1 stage 和 2 stage 的,而 2 stage 的目標檢測方法以 Faster-RCNN 爲代表是需要 RPN(Region Proposals Network)生成 RoI(Region of Interests,感興趣區域)的,文章認爲正是因爲被遮擋了的或者不精確的 Region Proposals 導致目標檢測算法的不準確。 作者的想法動機其
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相關文章
1.
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2.
論文閱讀理解 - R-FCN: Object Detection via Region-based Fully Convolutional Networks
3.
《R-FCN: Object Detection via Region-based Fully Convolutional Networks》論文詳解
4.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
5.
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
6.
R-FCN: Object Detection via Region-based Fully Convolutional Networks 論文筆記
7.
【論文筆記】:Overlap Sampler for Region-Based Object Detection
8.
論文筆記 R-FCN: Object Detection via Region-based Fully Convolutional Networks
9.
【論文筆記 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
10.
R-FCN: Object Detection via Region-based Fully Convolutional Networks(2016)論文綜述
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