Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟮𝟱𝟭 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔 𝗦𝘂𝗿𝘃𝗲𝘆 𝗼𝗻 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗮𝗿𝘁 𝗯𝘆 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗞𝗮𝘀𝗵𝗺𝗶𝗿, 𝗦𝗿𝗶𝗻𝗮𝗴𝗮𝗿, 𝗝&𝗞, 𝗜𝗻𝗱𝗶𝗮 Follow me for a similar post: 🇮🇳 Ashish Patel Interesting Facts : 🔸 This paper is published ICCV2021. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eg8rz9sP ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Object detection or localization is an incremental step in the progression from coarse to fine digital image inference. It not only provides the classes of the image objects but also provides the location of the image objects which have been classified.  🔸 The location is given in the form of bounding boxes or centroids. Semantic segmentation gives fine inference by predicting labels for every pixel in the input image. Each pixel is labelled according to the object class within which it is enclosed.  🔸 Furthering this evolution, instance segmentation gives different labels for separate instances of objects belonging to the same class.  🔸 Hence, instance segmentation may be defined as the technique of simultaneously solving the problem of object detection as well as that of semantic segmentation.  🔸 In this survey paper on instance segmentation -- its background, issues, techniques, evolution, popular datasets, related work up to the state of the art and future scope have been discussed. The paper provides valuable information for those who want to do research in the field of instance segmentation. #computervision #artificialintelligence #machinelearning