Name
Title | ||
|---|---|---|
EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation |
Abstract | ||
|---|---|---|
To pursue high accuracy, most image semantic segmentation methods are computationally costly and thus not suitable to real-time applications. Existing lightweight methods either adopt a single branch without feature fusion, which dam-ages accuracy, or introduce extra branches for feature fusion, which harms efficiency. In this paper, we propose a lightweight network named EFRNet, with feature fusi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICME51207.2021.9428371 | 2021 IEEE International Conference on Multimedia and Expo (ICME) |
Keywords | DocType | ISBN |
Image segmentation,Fuses,Conferences,Semantics,Feature extraction,Real-time systems,Data mining | Conference | 978-1-6654-3864-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuayue Zhang | 1 | 0 | 0.34 |
| QM | 2 | 464 | 72.05 |
| Juncheng Zhang | 3 | 1 | 1.02 |
| Shaojun Liu | 4 | 0 | 0.34 |
| Haoyu Ma | 5 | 1 | 2.37 |
| Jing-Hao Xue | 6 | 15 | 10.05 |