目前常见的目标检测方法及技巧收藏整理

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一、目标检测方法



Anchor



1. One Stage

Yolo Family:yolov1...yolov3...yolov5
SSD Family
RetinaNet
M2Det



2. Two Stage

RCNN
Fast RCNN
Faster RCNN
Mask RCNN
RFCN
Light-Head-RCNN
Cascade RCNN
Libra RCNN
DetectoRS



Anchor Free

ConnerNet
Foveabox
CenterNet
FCOS
RepPoint
ATSS
FreeAnchor
FSAF



Transformer

DETR



NAS

DetNAS
NAS-FPN
Auto-FPN
NAS-FCOS
SpineNet
Hit-Detector
EfficientDet



Semi-supervised learning

STAC



二、Tricks



Data Augmentation

SSD augmentation
Random erase
Mixup
Mosaic



Anchor

Guided Anchor



NMS

Soft-NMS



Loss



1. Classification 分类

Focal loss 焦点损失
Generalized Focal loss 广义焦点损失



2. Regression 回归

IoU
GIoU
DIoU
CIoU



Imbalance

Class
Scale
Spatial
Objective


参考文章