Image similarity using Deep CNN and Curriculum Learning

Understand

Image similarity involves fetching similar looking images given a reference image.

• Our solution called SimNet, is a deep siamese network which is trained on pairs of positive and negative images using a novel online pair mining strategy inspired by Curriculum learning.
• We also created a multi-scale CNN, where the final image embedding is a joint representation of top as well as lower layer embedding's.
• We go on to show that this multi-scale siamese network is better at capturing fine grained image similarities than traditional CNN's.