Ashish Patel 🇮🇳’s Post

Day-73 Computer Vision Learning ResNet-DUC-HDC — Dense Upsampling Convolution and Hybrid Dilated Convolution (Semantic Segmentation) by Carnegie Mellon University, UC San Diego Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2018 WACV , which has already got over 67 citations. 🔸 It outperforms FCN, DilatedNet, and DeepLabv2 ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eqFenUD Official Code : https://bit.ly/38CNvVm ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 DUC (Dense Upsampling Convolution) — generates pixel-level prediction, which is able to capture and decode more detailed information that is generally missing in bilinear upsampling. 🔸 HDC (Hybrid Dilated Convolution) — 1) effectively enlarges the receptive fields (RF) of the network to aggregate global information; 2) alleviates the “gridding issue” problem caused by standard dilated convolution. #computervision #artificialintelligence #data