Accurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling Convolution
上图左列绿色是gt框,红色是预测框,可以发现框不准比较严重,右列是增加了RRC网络的预测结果,显示为黄色,可见增加了RRC后IoU会更高。Accurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling Convolution
如果F中的参数都是一样的值的话,上图就是一个RNN的网络结构。
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Accurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling Convolution
————————————————————————————————————————实验Accurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling ConvolutionAccurate Single Stage Detector Using Recurrent Rolling Convolution

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