Paper

Learning and aggregating deep local descriptors for instance-level recognition

We propose an efficient method to learn deep local descriptors for instance-level recognition. The training only requires examples of positive and negative image pairs and is performed as metric learning of sum-pooled global image descriptors... (read more)

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