State of the art on the MSMT17

In this page, the state-of-the-art methods on MSMT17 dataset are summaried.

Reference	MSMT17					Notes
	rank-1	rank-5	rank-10	rank-20	mAP
L. Wei et al. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. In CVPR, 2018.	47.6	65.0	71.8	78.2	23.0	GoogleNet[1], euclidean distance
	58.0	73.6	79.4	84.5	29.7	PDC[2], euclidean distance
	61.4	76.8	81.6	85.9	34.0	GLAD[3], euclidean distance

Reference:

[1] C. Szegedy et al. Going deeper with convolutions. In CVPR, 2015.
[2] C. Su et al. Pose-driven deep convolutional model for person re-identification. In ICCV, 2017.
[3] L. Wei et al. Glad: Global-local-alignment descriptor for pedestrian retrieval. In ACM MM, 2017.