fig6

Container-surface-guided dual-task learning for defect detection in complex port scenes

Figure 6. Detection-response heatmaps of the ablation configurations on five illustrative test images. Columns A and B show the input images and ground-truth annotations. Columns C-F show responses for A2 (detection and segmentation), A3 (A2 with STFF), A7 (A3 with bidirectional MG-CTI), and A10 (A7 with CTC and EAMR), respectively. Column G shows the final predictions of the complete CSG-YOLO model (A10). The cases illustrate individual response patterns rather than a statistically representative sample of the test set. STFF: Scale-tuned feature fusion; MG-CTI: mask-guided cross-task interaction; CTC: center-to-container consistency; EAMR: edge-aware mask refinement.

Intelligence & Robotics
ISSN 2770-3541 (Online)

Portico

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Portico

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https://www.portico.org/publishers/oae/