• Laser & Optoelectronics Progress
  • Vol. 58, Issue 24, 2411003 (2021)
Binbin Zhang and Zilai·mahemuti Pa*
Author Affiliations
  • School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830047, China
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    DOI: 10.3788/LOP202158.2411003 Cite this Article Set citation alerts
    Binbin Zhang, Zilai·mahemuti Pa. Improved Flame Target Detection Algorithm Based on YOLOv3[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2411003 Copy Citation Text show less
    Structure of the residual module
    Fig. 1. Structure of the residual module
    Structure of the YOLOv3 algorithm
    Fig. 2. Structure of the YOLOv3 algorithm
    Schematic diagram of anchor prediction of YOLOv3 algorithm
    Fig. 3. Schematic diagram of anchor prediction of YOLOv3 algorithm
    Structure of the large-scale GCM
    Fig. 4. Structure of the large-scale GCM
    Structure of the CSA module
    Fig. 5. Structure of the CSA module
    Network structure of our algorithm
    Fig. 6. Network structure of our algorithm
    Performance comparison between our algorithm and the YOLOv3 algorithm. (a) mAP; (b) F1 score; (c) Loss
    Fig. 7. Performance comparison between our algorithm and the YOLOv3 algorithm. (a) mAP; (b) F1 score; (c) Loss
    Detection results of different algorithms. (a) Original YOLOv3 algorithm; (b) our algorithm
    Fig. 8. Detection results of different algorithms. (a) Original YOLOv3 algorithm; (b) our algorithm
    AlgorithmCategoryPrecision /%Recall /%F1 score /%mAP /%FPS
    YOLOv3fire91.7269.7679.0085.3526.9
    light82.1775.7179.00
    Retinanet[18]fire90.7178.4384.0086.2218.5
    light83.2181.4382.00
    Centernet-HG[19]fire93.5777.9585.0088.1915.3
    light88.4682.1485.00
    Oursfire95.0778.9086.0089.8220.2
    light89.3984.2987.00
    Table 1. Detection results of different algorithms
    NetworkFPNCSAGCMLossmAP /%
    1××××85.35
    2×××87.80
    3××88.52
    4×88.97
    589.82
    Table 2. Ablation experiment results
    Binbin Zhang, Zilai·mahemuti Pa. Improved Flame Target Detection Algorithm Based on YOLOv3[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2411003
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