Day-72 Computer Vision Learning SDN — Stacked Deconvolutional Network Using DenseNet (Semantic Segmentation) by Chinese Academy of Science. Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2017 arxiv , which has already got over 67 citations. 🔸 Stacking Multiple Encoder-Decoder Networks, outperforms FCN, DeepLabv1, DeepLabv2, DeepLabv3, DilatedNet, CRF-RNN, DeconvNet, PSPNet, FC-DenseNet, SegNet, RefineNet. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/ehdStyH ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Multiple shallow deconvolutional network, called SDN units, are stacked to integrate context information and guarantee the fine recovery of localization information. 🔸 Inter-unit and intra-unit skip connections are used, to assist the network training and enhance feature fusion. 🔸 Hierarchical supervision is applied to benefits the network optimization. #computervision #artificialintelligence #analytics
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