AI RESEARCH
ViBA: Implicit Bundle Adjustment with Geometric and Temporal Consistency for Robust Visual Matching
arXiv CS.CV
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ArXi:2604.03377v1 Announce Type: new Most existing image keypoint detection and description methods rely on datasets with accurate pose and depth annotations, limiting scalability and generalization, and often degrading navigation and localization performance. We propose ViBA, a sustainable learning framework that integrates geometric optimization with feature learning for continuous online