Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟵𝟮 Computer Vision Learning 𝗗𝗲𝗲𝗽 𝗛𝗼𝘂𝗴𝗵-𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 Line Priors by Delft University of Technology, the Netherlands Follow me for similar post :  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in ECCV2020 with over 9 citations. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/exg8nJa Code : https://lnkd.in/egRmnxJ ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Classical work on line segment detection is knowledge-based; it uses carefully designed geometric priors using either image gradients, pixel groupings, or Hough transform variants. Instead, current deep learning methods do away with all prior knowledge and replace priors by training deep networks on large manually annotated datasets. 🔸 Here, Author reduce the dependency on labeled data by building on the classic knowledge-based priors while using deep networks to learn features. We add line priors through a trainable Hough transform block into a deep network. 🔸Hough transform provides the prior knowledge about global line parameterizations, while the convolutional layers can learn the local gradient-like line features. #computervision #artificialintelligence #data