YOLOv11 公开文献汇总 ，持续更新

YOLOv11 核心技术简介发布时间2024年9月Ultralytics核心架构改进C2PSA模块Cross Stage Partial with Spatial Attention引入空间注意力机制增强模型对关键区域的关注提升小目标和遮挡物体检测能力C3k2模块Cross Stage Partial with 3 Convolutions and 2 Kernels在保持丰富特征表示的同时降低计算复杂度无锚框Anchor-Free设计继承YOLOv8的解耦检测头直接预测中心坐标偏移和宽高缩放因子支持多任务物体检测、实例分割、姿态估计模型版本提供nnano、ssmall、mmedium、llarge、xxlarge五个规模参数量从1.94M到更大规模不等重要文献汇总1. 基础理论与技术综述国际文献标题作者/年份主要内容链接YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLOv11, and their Previous VersionsN. Jegham等, 2024全面对比YOLOv12、YOLOv11与历史版本的架构差异和性能基准被引158次arXiv:2411.00201YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and ChallengesM. Kotthapalli等, 2025从YOLOv1到YOLOv11的完整技术演进综述涵盖每个版本的关键创新arXiv:2508.02067Ultralytics YOLO Evolution: An Overview of YOLOv8, YOLOv11, YOLOv26 Object DetectorsR. Sapkota等, 2025对比Ultralytics开发的YOLO系列v5/v8/v11/v26的技术特点arXiv:2510.09653YOLOv11: An Overview of the Key Architectural EnhancementsR. Khanam M. Hussain, 2024专门分析YOLOv11的关键架构增强包括C2PSA和C3k2模块arXiv:2410.177252. 性能评估与基准测试国际文献标题作者/年份核心发现链接Comparing YOLOv11 and YOLOv8 for Instance Segmentation of Occluded and Non-Occluded Immature Green FruitsR. Sapkota M. Karkee, 2024在复杂果园环境中对比YOLOv11与YOLOv8的实例分割性能被引70次arXiv:2410.19869A Comprehensive Evaluation of YOLO-based Deer Detection Performance on Edge DevicesR. Khanam M. Hussain, 2024在边缘设备上全面评估YOLOv11n/s/m等版本的鹿检测性能arXiv:2509.20318Accuracy–Latency Trade-offs and Computational Complexity of Ultralytics YOLOv11 for Real-Time Video Object DetectionK. Masykuroh等, 2025针对CCTV视频监控场景分析YOLOv11各版本的精度-延迟权衡IEEE XploreA Comparative Analysis of YOLOv11 Models: Impact of Object Size on Detection PerformanceA. Haj Hassine K. Hamed, 2025分析不同尺寸物体对YOLOv11各版本检测性能的影响DiVA3. 应用场景研究国际文献标题作者/年份应用领域链接A Modular Architecture Design for Autonomous Driving Racing in Controlled Environments多作者, 2025自动驾驶赛车中的锥体检测选用YOLOv11s平衡速度与精度arXiv:2512.03886Human Action Recognition Using YOLOv11 UltralyticsS.J. Kim M.J. Kim, 2025使用YOLOv11进行实时人体动作识别(HAR)Wren ResearchEnhancing YOLOv11 Training for Explosive Ordnance Detection in UAV ImageryA. Dudnik等, 2026无人机图像中的爆炸物检测优化YOLOv11训练策略CEUR-WSEnsuring Product Detection and Counting on the Assembly Line using Deep Learning (YOLOv11)M.A. Özel M.Y. Gül, 2025工业流水线产品检测与计数使用YOLOv11xDergiParkOptimizing YOLOv11 with EfficientNet for UAV-Based Real-Time Traffic MonitoringL.M. Farhan R. MohammedQasem, 2025智慧城市无人机交通监控结合EfficientNetB7与YOLOv11SpringerContainer Damage Detection using Advanced Computer Vision Model多作者, 2025集装箱损坏检测对比YOLOv12、YOLOv11与RF-DETRarXiv:2506.225174. 国内中文文献文献标题作者/期刊主要内容链接改进YOLOv11模型在高压输电线路巡检中的应用银柳《图像与信号处理》2026引入CBAM注意力模块、BiFPN和WIoU损失mAP提升至96.5%FPS保持45帧汉斯出版社基于改进YOLOv11s的轻量化绝缘子缺陷检测算法研究苏鑫, 大连交通大学硕士论文, 2025针对绝缘子缺陷检测优化YOLOv11s