Identifies small lesions in tobacco using a dual-branch detection method, suggesting effective disease management.
• Developed a CNN-Transformer dual-branch network for multi-modal tobacco defect detection. • Designed an adaptive fusion mechanism to enhance cross-modal feature consistency. • Built a dynamic detection framework to improve small lesion localization. • Introduced a multi-scale loss function to optimize learning for small targets.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: