Novel Recursive BiFPN Combining with Swin Transformer for Wildland Fire Smoke Detection
The technologies and models based on machine vision are widely used for early wildfire detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is more easily detected than flame. However, the shapes of the smoke blown by the wind change constantly and the smoke color...
Main Authors: | Ao Li, Yaqin Zhao, Zhaoxiang Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/13/12/2032 |
Similar Items
-
Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
by: Fuzhen Zhu, et al.
Published: (2023-08-01) -
A New Target Detection Method of Ferrography Wear Particle Images Based on ECAM-YOLOv5-BiFPN Network
by: Lei He, et al.
Published: (2023-07-01) -
AB-DLM: An Improved Deep Learning Model Based on Attention Mechanism and BiFPN for Driver Distraction Behavior Detection
by: Taiguo Li, et al.
Published: (2022-01-01) -
Enhanced YOLOv8 with BiFPN-SimAM for Precise Defect Detection in Miniature Capacitors
by: Ning Li, et al.
Published: (2024-01-01) -
Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion
by: Yuqi Hu, et al.
Published: (2023-03-01)