𝗗𝗮𝘆-𝟭𝟭𝟴 Computer Vision Learning Super-Resolution Convolutional Neural Network 𝗦𝗥𝗖𝗡𝗡 by 𝗩𝗶𝘀𝘂𝗮𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝘀𝗶𝗮, China Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 SRCNN is published in 2014 ECCV [1] and 2016 TPAMI [2] papers with both about 4488 citations 🔸 we usually use CNN for image classification. In SRCNN, it is used for single image super resolution (SR) which is a classical problem in computer vision. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/euE2UtD Code : https://lnkd.in/eceShnD ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 In SRCNN, actually the network is not deep. There are only 3 parts, patch extraction and representation, non-linear mapping, and reconstruction. #computervision #artificialintelligence #deeplearning #innovation
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