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DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation

Hatem Ibrahem, Ahmed Salem, Hyun-Soo Kang
2022 Sensors  
We propose Depth-to-Space Net (DTS-Net), an effective technique for semantic segmentation using the efficient sub-pixel convolutional neural network.  ...  We propose both a deep network, that is, DTS-Net, and a lightweight network, DTS-Net-Lite, for real-time semantic segmentation; these networks employ Xception and MobileNetV2 architectures as the feature  ...  We also provide the test and the evaluation codes of the proposed method at: DTS-Net which is created and accessed on 21 June 2021.  ... 
doi:10.3390/s22010337 pmid:35009879 pmcid:PMC8749585 fatcat:mvxugub4anbmbcpoybyrmm7dxa