Name
Abstract | ||
|---|---|---|
ABSTRACTPerson search often requires a query photo of the target person. However, in many practical scenarios, there is no guarantee that such a photo is always available. In this paper, we define the problem of sketch based person search, which uses a sketch instead of a photo as the probe for retrieving. We tackle this problem in a weak supervision setting and propose a clustering and feature attention based weakly supervised learning framework, which contains two stages of pedestrian detection and sketch based person re-identification. Specially, we introduce multiple detectors, followed by fuzzy c-means clustering to achieve weakly supervised pedestrian detection. Moreover, we design an attention module to learn discriminative features in subsequent re-identification network. Extensive experiments show the superiority of our method. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3460426.3463596 | International Multimedia Conference |
Keywords | DocType | Citations |
Sketch based person search, sketch based person re-identification, weakly supervised learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lan Yan | 1 | 12 | 7.91 |
| Wenbo Zheng | 2 | 15 | 5.59 |
| Fei-Yue Wang | 3 | 5273 | 480.21 |
| Chao Gou | 4 | 133 | 19.52 |