Name
Title | ||
|---|---|---|
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments |
Abstract | ||
|---|---|---|
•Smoke detection and localization in both clear and hazy outdoor environments.•Using a lightweight CNN architecture called EfficientNet for smoke detection.•Employing DeepLabv3+ semantic segmentation architecture for smoke localization.•Pixel-wise annotation of a new benchmark dataset for smoke semantic segmentation.•Outperformed existing smoke detection and segmentation methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115125 | Expert Systems with Applications |
Keywords | DocType | Volume |
Smoke detection and segmentation,Semantic segmentation,Foggy surveillance environment,Wildfires,Disaster management | Journal | 182 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salman Khan | 1 | 387 | 41.05 |
| Muhammad Waqas Khan | 2 | 17 | 5.47 |
| Tanveer Hussain | 3 | 66 | 7.99 |
| Javier Del Ser | 4 | 712 | 87.90 |
| Fabio Cuzzolin | 5 | 389 | 32.48 |
| Siddhartha Bhattacharyya | 6 | 412 | 53.19 |
| Zahid Akhtar | 7 | 61 | 9.10 |
| Victor Hugo C. de Albuquerque | 8 | 914 | 83.30 |