PaperCVPR · 2020
PointRend: Image Segmentation As Rendering
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PointRend
Treats mask prediction as rendering: starts from a coarse mask and refines it by predicting labels only at adaptively selected uncertain points with a small point-wise MLP over fine-grained and coarse features, giving sharp boundaries at a fraction of dense-upsampling cost.
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2012ImageNet Classification with Deep Convolutional Neural NetworksKrizhevsky, Sutskever, Hinton2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftIoffe, Szegedy2015Fully Convolutional Networks for Semantic SegmentationLong, Shelhamer, Darrell2015U-Net: Convolutional Networks for Biomedical Image SegmentationRonneberger, Fischer, Brox2016Deep Residual Learning for Image RecognitionHe, Zhang et al.2017Mask R-CNNHe, Gkioxari et al.2018DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsChen, Papandreou et al.Built upon by · 0