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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
时间 2020-12-29
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Abstract flownet效果好,但是需要160M的参数。创新点:1.使得前向传播预测光流更为效率通过在每一个金字塔层添加一个串联网络。2.添加一个novel flow regularization layer来改善异常值和模糊边界的情况,这个层是通过使用feature-driven local convolution来实现的。3.我们的网络拥有一个有效的金字塔特征提取结构,并采用fea
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相关文章
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