State of the art on the MSMT17

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

Reference MSMT17 Notes
L. Wei et al. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. In CVPR, 2018. 47.665.071.878.223.0 GoogleNet[1], euclidean distance
58.073.679.484.529.7PDC[2], euclidean distance
61.476.881.685.934.0GLAD[3], euclidean distance


[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.