Date of publication：2020-07-16 Number of clicks: 4
In this paper, by constraining the distance between the mismatched samples in the triplet, the distance between the matched pairs is infinitely narrowed. When the isosceles constraint combined with the margin constraints of the triplets, the distance difference between the matched and mismatched pairs in the global scope is further increased. Similarly, the isosceles constraint can also be used directly for the quadruplet loss. The overall framework of isosceles constraint used for triplet loss is as follows:
In summary, the main contributions of this work include: 1) The isosceles constraint is applied to the triplet loss and the quadruplet loss, further increasing the distance difference between the matched and mismatched sample pairs in the global scope; 2) The effectiveness of isosceles constraints is verified on multiple person re-identification datasets; 3) The effectiveness of isosceles constraints is verified on the different backbone and retrieval tasks (including vehicle re-identification and general fine-grained recognition).