Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis by Lichun Bai (6684683)

“…To address this issue, this paper proposes a multiscale bubble detection algorithm, ATS-YOLO, based on YOLOv10. …”

Multi scale detection. by Bo Tong (2138632)

Detection effect of different sizes. by Bo Tong (2138632)

Detection results of each category. by Bo Tong (2138632)

Training results under different parameters. by Yang Zhang (30734)

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IoU measures the overlap between predicted bounding boxes and ground truth boxes. by Yang Zhang (30734)

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The patchwise contrastive learning method based on PatchNCE loss. by Yang Zhang (30734)

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The network framework of the proposed model. by Yang Zhang (30734)

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The confusion matrix of our model in the hazed COCO2017 dataset. by Yang Zhang (30734)

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The efficient multi-scale attention. by Yang Zhang (30734)

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The improved network diagram of YOLOv9s. by Yang Zhang (30734)

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MGPC module. by Bo Tong (2138632)

Comparative experiment. by Bo Tong (2138632)

Pruning experiment. by Bo Tong (2138632)

Parameter setting table. by Bo Tong (2138632)

DTADH module. by Bo Tong (2138632)

Ablation experiment. by Bo Tong (2138632)

MFDPN module. by Bo Tong (2138632)

Radar chart comparing indicators. by Bo Tong (2138632)

MFD-YOLO structure. by Bo Tong (2138632)