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A Novel Upsampling and Context Convolution for Image Semantic Segmentation
In this paper, we propose a dense upsampling convolution method based on guided filtering to effectively preserve the spatial information of the image in the network.
Improved Res2Net model for Person re-identification
In this paper, we propose a multi-task network base on an improved Res2Net model that simultaneously computes the identification loss and verification loss of two pedestrian images.
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