Every sample used for training with a triplet ranking loss is made up of three components: an anchor, a positive sample, and a negative sample. Triplet ranking loss aims to ensure that the relative distance between the anchor and the negative sample is larger than the relative distance between the anchor and the positive sample by at least a margin value.

University of Michigan - Ann Arbor

Google

Ranking loss focuses more on relative distance instead of measuring the direct difference between the output with the expectation. 

Ranking Loss

Pairwise ranking loss use two equations for negative samples and positive samples. For postive samples, we hope the relative distance is as small as possible. For negative samples, we hope the relative distance is larger than a margin value at least.

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