ML Tasks Image Detection YOLO

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YOLO 系列

• YOLO - You Only Look Once

graph TD
    O(YOLO家谱)--> |Joseph Redmon| V1(2015 YOLOv1)
    V1 --> V2(2016 YOLOv2)
    V2 --> V3(2018 YOLOv3)
    V3 --> |Alexey Bochkovskiy| V4(2020 YOLOv4)
    V3 --> |百度| PP(2020 PP-YOLO)
    V3 --> |旷世| VX(2021 YOLOX)
    V4 --> V7(2022 YOLOv7)
    V4 --> |Ultralytics LLC| V5(2021 YOLOv5)
    V5 --> V8(2022 YOLOv8)
    V4 --> |美团| V6(2022 YOLOv6)
    V5 --> V6
    V4 --> |ChienYaoWang| VR(2021 YOLOR)

Papers

• 2015 YOLO V1 You Only Look Once: Unified, Real-Time Object Detection [paper] [netscope] [Code] [Code2 - AlexeyAB] [docs]
• 2016 YOLO V2 YOLO9000: Better, Faster, Stronger [paper] [netscope] [Code] [docs] [YOLO 9000]
• 2018 YOLOv3 An Incremental Improvement [paper] [YOLOv3 netscope] [Code] docs [docs]
• 2020 PP-YOLO PP-YOLO: An Effective and Efficient Implementation of Object Detector [paper]
• 2021 YOLOv4 YOLOv4: Optimal Speed and Accuracy of Object Detection [paper]
• 2021 YOLOR You Only Learn One Representation: Unified Network for Multiple Tasks [paper]
• 2021 YOLOX YOLOX: Exceeding YOLO Series in 2021 [paper]
• 2022 YOLOv6 YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications [paper]
• 2022 YOLOv7 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors [paper]

提升变化

YOLOv1

• 定位问题 --> 回归问题

YOLOv2

• Darknet19
• BN Layers
• 高分辨率分类器
• 使用聚类获取 Anchor Box
• 特征融合
• 多尺度训练
• 分类检测数据集联合训练

YOLOv3

• Darknet53
• FPN

YOLOv4

• CSPDarkNet53
• CutMix & Mosaic
• Mish

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其他扩展

• YOLO Lite
• YOLO nano ---- Github - 0614/yolo_nano - Unofficial implementation of yolo nano
• YOLO tiny
• Mobilenet - YOLOv3
• YOLO tiny - 基于 Darknet Reference Model
• 目标检测（九）--YOLO v1,v2,v3
• YOLO lite
• YOLO-LITE项目实现(比SSD和MobileNet更快的算法)
• Yolo9000算法分析
• pjreddie Publications
• YOLO v2算法详解+YOLO9000介绍
• YOLO-v3模型参数anchor设置
• YOLOv2 YOLOv3 如何选择先验框（priors anchor）（自用）
• YOLO v3网络结构分析
• yoloV1，看过好多篇，这篇感觉讲的最通俗易懂
• YOLOV3 基于OpenCV DNN 的目标检测实现
• 目标检测之YOLO V2 V3
• 从yolov1到yolov3