most citedM2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification

25 citations · 25 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2018★ 25 cited

M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification

Wenqi Liang, Guangcong Wang, Jianhuang Lai +1

Cross-domain transfer learning (CDTL) is an extremely challenging task for the person re-identification (ReID). Given a source domain with annotations and a target domain without a…