Convolutional Neural Networks learn compact local image descriptors

This work addresses the need for efficient image matching and retrieval in computer vision, but it is incremental as it applies an existing method to a new context.

The paper tackled the problem of learning compact local image descriptors using a standard deep convolutional neural network with a suitable loss function, achieving performance comparable to state-of-the-art approaches.