一、目標檢測方法
Anchor
1. One Stage
1. Yolo Family
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 分類
Focal loss 焦點損失
Generalized Focal loss 廣義焦點損失
2. Regression 回歸
IoU
GIoU
DIoU
CIoU
Imbalance
Class
Scale
Spatial
Objective
參考文章
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