PDF(11139 KB)
","magId":"162dd99b-1940-4322-bee6-501d2d246a1f","labelCn":"图1","pptUrl":"1673-0291-2025-49-5-209/3A3E449B-C44B-4789-8908-D74846BA2A37-F001.jpg.ppt","labelEn":"Fig.1","figUrl":"1673-0291-2025-49-5-209/3A3E449B-C44B-4789-8908-D74846BA2A37-F001.jpg","titleEn":"Fig.1 Structure of the YOLOv8n algorithm","titleCn":"图1 YOLOv8n算法结构图","id":"F1","captionEn":"
";
ss += ""+fig.titleCn+"
"; } if(fig.titleContentCn && fig.titleContentCn!=''){ shuomingContent += fig.titleContentCn; } } ss += ''+shuomingTitle+''; if(shuomingContent!=''){ ss += shuomingContent; } ss += ' |
"+tab.titleCn+"
"; } if(tab.titleContentCn && tab.titleContentCn!=''){ shuomingContent += tab.titleContentCn; } } ss += '| '; if(fn.label && fn.label!=''){ ss += fn.label; } ss += ' | '; ss += '';
if(fn.pList && fn.pList.length>0){
for(var k=0;k |
Research on lightweight rail foreign object intrusion detection based on shallow feature fusion
Tao HOU, Junchang LI, Hongxia NIU
PDF(11139 KB)
PDF(11139 KB)
Research on lightweight rail foreign object intrusion detection based on shallow feature fusion
| {{custom_ref.label}} |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
/
| 〈 |
|
〉 |