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論文解讀2-Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
時間 2021-05-02
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論文解讀
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論文地址:https://arxiv.org/pdf/2010.14851.pdf github地址:https://github.com/jytime/DICL-Flow (目前還沒把訓練好的模型放出來,也還沒有訓練代碼,僅有模型搭建代碼) Motivation: Learning Matching Costs在雙目匹配上取得了較大的成功,通過構造3D的Cost Volume(FxDxHxW
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相關文章
1.
論文解讀1-LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
2.
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
3.
【論文淺讀】《PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume》
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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
6.
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FlowNet: Learning Optical Flow with Convolutional Networks
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SegFlow_Joint Learning for Video Object Segmentation and Optical Flow 論文翻譯
10.
ProFlow: Learning to Predict Optical Flow
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