Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟬𝟲 Computer Vision Learning 𝗨𝗡𝗲𝘁++ — A Nested U-Net Architecture (Biomedical Image Segmentation) by Arizona State University Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in 2018 DLMIA with over 45 citations. 🔸 Outperforms U-Net and Wide U-Net ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/e9KAr-S Code : https://lnkd.in/eMiruB2 ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸1) having convolution layers on skip pathways, which bridges the semantic gap between encoder and decoder feature maps. 🔸2) having dense skip connections on skip pathways, which improves gradient flow. 🔸3) having deep supervision, which enables model pruning and improves or in the worst case achieves comparable performance to using only one loss layer. #computervision #artificialintelligence #deeplearning