A recurrent cross-frame attention module that injects historical context into coarse ground features improves cross-view visual localization accuracy on CVIS, KITTI-CVL, and real-vehicle tests.
View consistent purification for accurate cross -view localization,
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Cross-View Sequential Visual Localization with Spatio-Temporal Context Modeling for Autonomous Driving
A recurrent cross-frame attention module that injects historical context into coarse ground features improves cross-view visual localization accuracy on CVIS, KITTI-CVL, and real-vehicle tests.