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Matching Disparate Image Pairs Using Shape-Aware ConvNets
A graph-based representation for the disparate image pair is generated by constructing an affinity matrix that embeds the distances between feature points in two images, thus modeling the correspondence determination problem as one of graph matching.
Deep Spectral Correspondence for Matching Disparate Image Pairs
The proposed scheme reasons about correspondence between disparate images using high-level global shape cues derived from low-level local feature descriptors.
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