Unsupervised EM-based joint optimization of interest point detector and descriptor via probability formulations of sparsity, repeatability and discriminability, yielding Property Network that outperforms SOTA on matching benchmarks without retraining.
Whereas it’s hard to solve (41) precisely, this subsec- tion introduce an efficient strategy to approximatepi which comprises of three step
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Unsupervised Learning Framework of Interest Point Via Properties Optimization
Unsupervised EM-based joint optimization of interest point detector and descriptor via probability formulations of sparsity, repeatability and discriminability, yielding Property Network that outperforms SOTA on matching benchmarks without retraining.