Learning Holistic Scene Layout against View Shifts in Cross-View Geo-Localization
Read the original on arXiv Computer Vision →The paper introduces a Spatial Context Modeling (SCM) module that traverses feature maps in four orthogonal directions to capture interactions among directional representations, thereby building richer scene layout representations for cross-view geo-localization. It also proposes a High-Frequency Information Guidance (HFIG) module that extracts stable structural cues from the frequency domain to emphasize edges and contours, improving robustness to appearance variations. Experiments show the method performs competitively on standard benchmarks and remains robust under challenging scenarios with unknown orientations and limited fields of view.
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