Yan Wang, Honghui Wang, Shudong Liu, Yan Zhang, Zeyu Hao. Small target detection in sonar images with multilevel feature screening and task dynamic alignment[J]. Opto-Electronic Engineering, 2024, 51(10): 240196

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- Opto-Electronic Engineering
- Vol. 51, Issue 10, 240196 (2024)

Fig. 1. YOLOv8s network model

Fig. 2. EMS-FPN module

Fig. 3. ELA attention mechanisms

Fig. 4. ELA-SFF module

Fig. 5. TDADH module

Fig. 6. Task decomposition module

Fig. 7. Improved YOLOv8s target detection network model

Fig. 8. SCTD sonar image data enhancement. (a) Original image; (b) Random removal of pixel points; (c) Sharpening process; (d) Adjustment of brightness; (e) Adjustment of hue; (f) Image flipping
![Comparison of detection results of different methods for sonar images in URPC 2021. (a) RetinaNet[28" target="_self" style="display: inline;">28]; (b) PAA[29" target="_self" style="display: inline;">29]; (c) CenterNet[30" target="_self" style="display: inline;">30];(d) SparseRCNN[31" target="_self" style="display: inline;">31]; (e) YOLOF[32" target="_self" style="display: inline;">32]; (f) TOOD[33" target="_self" style="display: inline;">33]; (g) VarifocalNet[34" target="_self" style="display: inline;">34];(h) DSA-Net[35" target="_self" style="display: inline;">35]](/Images/icon/loading.gif)
Fig. 9. Comparison of detection results of different methods for sonar images in URPC 2021. (a) RetinaNet[28]; (b) PAA[29]; (c) CenterNet[30];(d) SparseRCNN[31]; (e) YOLOF[32]; (f) TOOD[33]; (g) VarifocalNet[34];(h) DSA-Net[35]

Fig. 10. Comparison of detection results of different methods for sonar images in URPC 2021. (a) YOLOv5; (b) YOLOv6; (c) YOLOv7; (d) YOLOv8s; (e) This paper
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Table 1. Results of ablation experiments on URPC2021 dataset
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Table 2. Results of small target category ablation experiments in the URPC2021 dataset
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Table 3. Comparison of accuracy and mAP@50 for different underwater objects on URPC2021 dataset with other methods
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Table 4. Results of comparison experiments on SCTD dataset

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