Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟮𝟰 Computer Vision Learning 𝗙𝗚𝗡: Fully Guided Network for Few-Shot Instance Segmentation by South China University of Technology, Guangzhou Laboratory, Huazhong University of Science and Technology and Wuhan University Follow me for similar post :  @🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in CVPR 2020 with over 8 citations. 🔸 It Outperforms with MaskRCNN, Siamense MRCNN, Meta R-CNN. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/ekjkZzZ ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in the lack of abundant labeled data for training.  🔸 FGN perceives FSIS as a guided model where a so-called support set is encoded and utilized to guide the predictions of a base instance segmentation network (i.e., Mask R-CNN), critical to which is the guidance mechanism.    #computervision #artificialintelligence #deeplearning #innovation