Scaling data, model size, and compute for local feature matching produces large performance gains on challenging benchmarks and a new manually annotated HardMatch dataset.
In: CVPR (2021) 2
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LoMa: Local Feature Matching Revisited
Scaling data, model size, and compute for local feature matching produces large performance gains on challenging benchmarks and a new manually annotated HardMatch dataset.