RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li,Jinyu Miao,Xuesong Shi,Yuxin Tian,Qiwei Long,Tianyu Cai,Ping Guo,Hongfei Yu,Wei Yang,Haosong Yue,Qi Wei,Fei Qiao,Dongjiang Li,Jinyu Miao,Xuesong Shi,Yuxin Tian,Qiwei Long,Tianyu Cai,Ping Guo,Hongfei Yu,Wei Yang,Haosong Yue,Qi Wei,Fei Qiao
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge indoor localization greatly. To address the problem, we propose a novel network, RaP-Net, to simultaneously predict region-wise invariability and point-wise reliability, and then extract features by considering both of th...
