Slim-YOLO-PR_KD: an efficient pose-varied object detection method for underground coal mine

• DOI number:10.1007/s11554-024-01539-0
• Affiliation of Author(s):计算机科学与技术学院
• Funded by:国家自然科学基金项目
• First Author:Mu, Huaxing
• Co-author:liujueting,Guan, Yanyun,chenwei,徐婷婷,wangzehua
• Indexed by:Journal paper
• Document Code:5b5bb294927088e30192b2408e53583a
• Volume:v 21,n 5,
• ISSN No.:18618200
• Translation or Not:no
• Date of Publication:2024-10-01