Laser & Optoelectronics Progress, Volume. 59, Issue 24, 2410003(2022)
Improved YOLOv3 Flame Detection Algorithm Based on Dynamic Shape Feature Extraction and Enhancement
Fig. 3. Comparison between 3×3 standard convolution and deformable convolution. (a) Standard convolution; (b)-(d) deformable convolution
Fig. 4. Diagram of standard convolution fixed receptive field and deformable convolution adaptive receptive field
Fig. 6. Comparison of detection effects of different algorithms. (a) Proposed algorithm; (b) YOLOv4; (c) Cascade R-CNN
|
|
Get Citation
Copy Citation Text
Hao Ding, Huiqin Wang, Ke Wang. Improved YOLOv3 Flame Detection Algorithm Based on Dynamic Shape Feature Extraction and Enhancement[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2410003
Category: Image Processing
Received: Sep. 9, 2021
Accepted: Oct. 27, 2021
Published Online: Oct. 31, 2022
The Author Email: Huiqin Wang (hqwang@xauat.edu.cn)