题目：You Only Look Once: Unified, Real-Time Object Detection
名称：你只看一次：统一的实时对象检测
题目：YOLO9000: Better, Faster, Stronger
名称：YOLO9000：更好、更快、更强
题目：YOLOv3: An Incremental Improvement
名称：YOLOv3：增量改进
题目：YOLOv4: Optimal Speed and Accuracy of Object Detection
名称：YOLOv4：目标检测的最佳速度和准确性
题目：YOLOX: Exceeding YOLO Series in 2021
名称：YOLOX：2021年超越YOLO系列
题目：YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
名称：YOLO-Z：改进自动驾驶车辆 YOLOv5 中的小物体检测
题目：You Only Learn One Representation: Unified Network for Multiple Tasks
名称：您只学习一种表示：多任务统一网络
题目：YOLOP: You Only Look Once for Panoptic Driving Perception
名称：YOLOP：您只寻找一次全景驾驶感知
题目：TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
名称：TPH-YOLOv5：改进的基于 Transformer 预测头的 YOLOv5 用于无人机捕获场景的目标检测
题目：PP-YOLOv2: A Practical Object Detector
名称：PP-YOLOv2：实用的物体检测器
题目：PP-YOLOE: An evolved version of YOLO
名称：PP-YOLOE：YOLO的进化版
题目：PP-YOLO: An Effective and Efficient Implementation of Object Detector
名称：PP-YOLO：一种有效且高效的目标检测器实现
题目：Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3
名称：Poly-YOLO：YOLOv3 的更高速度、更精确的检测和实例分割
题目：Integrated Multiscale Domain Adaptive YOLO
名称：集成多尺度域自适应 YOLO
题目：Mirror-Yolo: An attention-based instance segmentation and detection model for mirrors
名称：Mirror-Yolo：一种基于注意力的镜像实例分割和检测模型
题目：Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
名称：用于恶劣天气条件下目标检测的图像自适应 YOLO
题目：YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models
名称：用于合并多个模型的YOLO暗域自适应方法
题目：ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
名称：ZSD-YOLO：使用视觉语言知识蒸馏的零样本 YOLO 检测
题目：YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPU
名称：YOLO-ReT：在边缘 GPU 上实现高精度实时目标检测
题目：CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
名称：CSL-YOLO：一种用于边缘计算的新型轻量级目标检测系统
题目：Domain Adaptive YOLO for One-Stage Cross-Domain Detection
名称：用于单阶段跨域检测的域自适应 YOLO
题目：Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
名称：用于跨域目标检测的多尺度域自适应 YOLO
题目：Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model
名称：基于TC-YOLO模型的非结构化环境下茶菊花检测
题目：New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis
名称：基于YOLO的新型SAR目标识别和非常深的多典型相关分析
题目：LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
名称：LF-YOLO：用于 X 射线图像焊接缺陷检测的更轻、更快的 YOLO
题目：EYNet: Extended YOLO for Airport Detection in Remote Sensing Images
名称：EYNet：用于遥感图像中机场检测的扩展 YOLO
题目：A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery
名称：一种轻量级且准确的类 YOLO 网络，用于航空影像中的小目标检测
题目：通过 YOLO 进行轻量级多无人机检测和 3D 定位
名称：通过 YOLO 进行轻量级多无人机检测和 3D 定位
题目：YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
名称：YOLO-Pose：使用对象关键点相似性损失增强多人姿势估计的 YOLO
题目：INSTA-YOLO: Real-Time Instance Segmentation
名称：INSTA-YOLO：实时实例分割
题目：Support Vector Machine and YOLO for a Mobile Food Grading System
名称：用于移动食品分级系统的支持向量机和 YOLO
题目：Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
名称：Stochastic-YOLO：数据集转移下的高效概率目标检测
题目：Tiny-YOLO object detection supplemented with geometrical data
名称：辅以几何数据的 Tiny-YOLO 对象检测
题目：Expandable YOLO: 3D Object Detection from RGB-D Images
名称：可扩展的 YOLO：从 RGB-D 图像进行 3D 对象检测
题目：3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds
名称：基于YOLO和K-Means的图像和点云3D目标检测方法
题目：YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud
名称：基于 YOLO 和 K-Means 的图像和点云 3D 目标检测方法
题目：WQT and DG-YOLO: towards domain generalization in underwater object detection
名称：WQT 和 DG-YOLO：水下目标检测领域的泛化
题目：YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
名称：YOLO Nano：一个高度紧凑的你只看一次的卷积神经网络，用于目标检测
题目：REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGA
名称：REQ-YOLO：一种资源感知、高效的 FPGA 目标检测量化框架
题目：Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
名称：Complexer-YOLO：语义点云上的实时 3D 对象检测和跟踪
题目：DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
名称：DC-SPP-YOLO：用于目标检测的基于密集连接和空间金字塔池的 YOLO
题目：Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
名称：Spiking-YOLO：用于节能目标检测的脉冲神经网络
题目：You Only Look Once series papers
名称：mbd.pub/o/bread/Z5yck59p
