Day-78 Computer Vision Learning BR²Net: Defocus Blur Detection via a Bidirectional Channel Attention Residual Refining Network (Blur Detection) Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2020 TMM, which has already got over 6 citations. 🔸 Fusing Low and High Level Features Using CAM, Outperforms DHDE and BTBNet ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eMYSFN7 ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 A residual learning and refining module (RLRM) is designed to correct the prediction errors in the intermediate defocus blur map. 🔸 A bidirectional residual feature refining network with two branches by embedding multiple RLRMs into it for recurrently combining and refining the residual features. #computervision #artificialintelligence #data
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