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Fig 1.

Architecture of the WaveMamba-YOLO.

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Fig 2.

GLaM network structure diagram.

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Fig 3.

Quad-Directional 2D Selective Scanning (SS2D) Trajectories in the PMConv Module’s State-Space Path.

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Fig 4.

CHDWT network structure diagram.

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Fig 5.

LWGA network structure diagram.

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Fig 6.

Example Diagram of Severstal Steel Defect Types.

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Fig 7.

NEU-DET Dataset Defect Types Illustration.

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Fig 8.

GC10-DET Dataset Defect Types Illustration.

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Fig 9.

Class Distribution of the GC10-DET Dataset.

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Table 1.

Comparison Results for Three Different Necks on the Defect Dataset.

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Fig 10.

Comparison results of thermogram visualization of three different necks.

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Fig 11.

Radar Chart Comparison of YOLOv11n and YOLOv11n+CHDWT Across Multiple Metrics.

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Table 2.

Comparative results of three different multi-scale modules on steel defect datasets.

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Fig 12.

Comparison for Multi-scale Models.

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Table 3.

Ablation study of waveMamba-YOLO under different lighting conditions.

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Table 4.

Benchmarking detection performance across steel defect detection models.

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Fig 13.

Visual Comparison of Defect Detection Performance Between YOLOv11n and WaveMamba-YOLO.

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Table 5.

Performance comparison on NEU-DET and GC10-DET datasets. All models are evaluated under 640 × 640 resolution.

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Fig 14.

Visual comparison of YOLOv11n and WaveMamba-YOLO on NEU-DET.

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