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Found 3 papers, 1 papers with code
Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences.
Ranked #1 on
Camera Localization
on Aachen Day-Night benchmark
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
A main challenge for tasks on panorama lies in the distortion of objects among images.
Learning Local Features with Context Aggregation for Visual Localization
Most existing methods use detect-then-describe or detect-and-describe strategy to learn local features without considering their context information.
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