YOLO ZOO:YOU ONLY LOOK ONCE ZOO

YOLO ZOO:YOU ONLY LOOK ONCE ZOO

MODELS

Model	Application	Paper	Code
YOLO	自然图像目标检测	[Paper]	[Code]
YOLOv2/YOLO9000	自然图像目标检测	[Paper]	[Code]
YOLOv3	自然图像目标检测	[Paper]	[Code]
YOLOv4	自然图像目标检测	[Paper]	[Code]
YOLOv5	自然图像目标检测		[Code]
Poly-YOLO	自然图像目标检测/自然图像实例分割	[Paper]
DG-YOLO	水下目标检测	[Paper]
REQ-YOLO	自然图像目标检测/FPGA	[Paper]
IFQ-Tinier-YOLO	人脸目标检测	[Paper]
xYOLO	自然图像目标检测/树莓派	[Paper]
YOLO Nano	自然图像目标检测/Nano	[Paper]
SpeechYOLO	语音信号定位	[Paper]
Complex-YOLO	点云3D目标检测	[Paper]
Complexer-YOLO	点云3D目标检测与分割	[Paper]
DC-SPP-YOLO	自然图像目标检测	[Paper]
Spiking-YOLO	轻量化自然图像目标检测	[Paper]
YOLO-LITE		[Paper]
YOLO3D		[Paper]
MV-YOLO		[Paper]
Fast YOLO		[Paper]
YOLO-R		[Paper]
Tinier-YOLO		[Paper]
SO-YOLO		[Paper]
VL-YOLO		[Paper]
SS-YOLO		[Paper]
IN-YOLO		[Paper]
YOLO-L		[Paper]
YOLT		[Paper]	[Code]
SlimYOLOv3			[Code]
YOLOv3-model-pruning			[Code]

ARTICALS

[在Nvidia Jetson Nano上利用YOLO进行目标检测的实践过程]
[mAP提升40%！YOLO3改进版—— Poly-YOLO：更快，更精确的检测和实例分割]
[YOLOv4: 43mAP/83FPS，虽迟但到，大型调优现场]
[YOLO系列：V1,V2,V3,V4简介]
[万字长文综述Yolov3&Yolov4核心知识]
[YOLOv5来了！Pytorch实现，支持ONNX和CoreML]