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Siting Shen

1 accepted papers

2019

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation

CVPR 2019poster

Multi-scale context information has proven to be essential for object segmentation tasks. Recent works construct the multi-scale context by aggregating convolutional feature maps extracted by different levels of a deep neural network. This is typically done by propagating and fusing features in a on…

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