Random Erasing Data Augmentation
In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN). In training, Random Erasing randomly selects a re...
Publications
2 shownImage-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Person re-identification (re-ID) models trained on one domain often fail to generalize well to another. In our attempt, we present a "learning via translation" framework. In the...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 3,704
- Institution
- Carnegie Mellon University
External Links
Identifiers
- ORCID
- 0000-0003-1978-2025
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.