Name
Title | ||
|---|---|---|
Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval |
Abstract | ||
|---|---|---|
Image retrieval based on deep convolutional features has demonstrated state-of-the-art performance in popular benchmarks. In this paper, we present a unified solution to address deep convolutional feature aggregation and image re-ranking by simulating the dynamics of heat diffusion. A distinctive problem in image retrieval is that repetitive or bursty features tend to dominate final image represen... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2018.2876833 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Heating systems,Image retrieval,Temperature measurement,Feature extraction,Mathematical model,Computer vision,Aggregates | Pattern recognition,Ranking,Computer science,Image retrieval,Artificial intelligence,Heat equation,Feature aggregation | Journal |
Volume | Issue | ISSN |
21 | 6 | 1520-9210 |
Citations | PageRank | References |
1 | 0.35 | 37 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shanmin Pang | 1 | 40 | 13.47 |
| Jin Ma | 2 | 5 | 5.54 |
| J. Xue | 3 | 542 | 57.57 |
| Jihua Zhu | 4 | 51 | 6.90 |
| Vicente Ordonez | 5 | 1418 | 69.65 |