Cross-Entropy Adversarial View Adaptation for Person Re-identification

IEEE Transactions on Circuits and Systems for Video Technology, pp. 2081-2092, 2019.

Cited by: 17|Bibtex|Views23|Links
EI WOS
Keywords:
TrainingCamerasComputer scienceProbesExtraterrestrial measurementsMore(1+)

Abstract:

Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognize paired snapshots, it has to cope with large cross-view variations caused by the camera view shift. The supervised deep neural networks are effective in producing a set of non-linear projections that can transform cross-view images ...More

Code:

Data:

Your rating :
0

 

Tags
Comments