Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
IEEE Robotics Autom Lett（2025）
Key words
Training,Iterative methods,Noise measurement,Feature extraction,Simultaneous localization and mapping,Point cloud compression,Labeling,Cameras,Vectors,Streaming media,Convolutional neural network,feature maps,global representation,image descriptors,place recognition,point cloud,retrieval results,robust representation,street view,self-supervised task,self-supervised learning,visual localization,visual place recognition,viewpoint changes
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