Foreword
Continually updated，Constantly record my new summary of the Detection Algorithm。
Stage Handling
| Stage Num |
Algorithm |
| 4 |
R-CNN、SPPNet、Cascade R-CNN |
| 2 |
Fast R-CNN、Faster R-CNN、R-FCN、Mask R-CNN、Light-head R-CNN、SNIP、R-FCN-3000、SNIPER |
| 1 |
YOLOv1、SSD、YOLOv2、DSSD、RetinaNet、YOLOv3 |
End-to-end Handling
| End-to-end |
Algorithm |
| × |
R-CNN、SPPNet |
| √ |
Fast R-CNN、Faster R-CNN、YOLOv1、SSD、R-FCN、YOLOv2、DSSD、Mask R-CNN、RetinaNet、Light-head R-CNN、SNIP、R-FCN-3000、YOLOv3、SNIPER |
RoI-wise subnetwork Handling
| RoI-wise subnetwork |
Algorithm |
| × |
YOLOv1、SSD、YOLOv2、DSSD、RetinaNet、YOLOv3、R-FCN、Light-head R-CNN、R-FCN-3000 |
| √ |
R-CNN、SPPNet、Fast R-CNN、Faster R-CNN、Mask R-CNN、SNIP、Cascade R-CNN、SNIPER |
Scale Handling
| Scale Handling |
Algorithm |
Sample Diagram |
| Image Pyramid |
SNIP、SNIPER |
 |
| Single Feature |
R-CNN、SPPNet、Fast R-CNN、Faster R-CNN、YOLOv1、R-FCN、Light-head R-CNN、R-FCN-3000 |
 |
| Pyramidal Feature |
SSD、YOLOv2 |
 |
| Feature Pyramid Network |
FPN、DSSD、Mask R-CNN、Cascade R-CNN、PAN |
 |
Repeatability Handling
| Decrease repetition |
Annotation |
| SPPNet |
去除卷积的重复抽取 |
| Fast R-CNN |
去除卷积的重复抽取 |
| R-FCN |
去除RoI-wise network的重复计算 |
| Light-head R-CNN |
去除每个类都要单独进行的location regression |
| R-FCN-3000 |
去除每个类都要单独进行的location regression |
| Increase repetition |
Annotation |
| SDD |
增加feature map的选取数量 |
| YOLOv2 |
增加feature map的选取数量 |
| FPN |
增加feature map的选取数量 |
| SNIP |
增加image scale的数量 |
| Cascade R-CNN |
增加RoI-wise network的数量 |
| PAN |
增加feature map的选取数量 |
Basemodel Handling
| Algorithm |
AlexNet |
ZFNet |
GoogleNet |
VGGNet |
DarkNet |
ResNet |
FPN(+ResNet) |
PAN(+ResNet) |
DetNet |
| R-CNN |
√ |
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| SPPNet |
√ |
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| Fast R-CNN |
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√ |
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| Faster R-CNN |
|
√ |
|
√ |
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| YOLOv1 |
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√ |
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| SSD |
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√ |
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| R-FCN |
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√ |
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| YOLOv2 |
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√ |
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| FPN |
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√ |
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| DSSD |
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√ |
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| Mask R-CNN |
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√ |
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| DCN |
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√ |
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| RetinaNet |
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√ |
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| Light-head R-CNN |
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√ |
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| Relation Network |
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| SNIP |
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√ |
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| Cascade R-CNN |
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|
√ |
|
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| R-FCN-3000 |
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√ |
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| PAN |
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√ |
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| YOLOv3 |
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√ |
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| DetNet |
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√ |
| SNIPER |
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√ |
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Classification Handling
| Algorithm |
SVM |
Softmax loss |
Focal loss |
| R-CNN |
√ |
|
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| SPPNet |
√ |
|
|
| Fast R-CNN |
|
√ |
|
| Faster R-CNN |
|
√ |
|
| YOLOv1 |
|
√ |
|
| SSD |
|
√ |
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| R-FCN |
|
√ |
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| YOLOv2 |
|
√ |
|
| FPN |
|
√ |
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| DSSD |
|
√ |
|
| Mask R-CNN |
|
√ |
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| DCN |
|
√ |
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| RetinaNet |
|
|
√ |
| Light-head R-CNN |
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| Relation Network |
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| SNIP |
|
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| Cascade R-CNN |
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| R-FCN-3000 |
|
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| PAN |
|
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| YOLOv3 |
|
√ |
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| DetNet |
|
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| SNIPER |
|
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Reg_loss Handling
| Algorithm |
L2 loss |
Smooth L1 loss |
| R-CNN |
√ |
|
| SPPNet |
√ |
|
| Fast R-CNN |
|
√ |
| Faster R-CNN |
|
√ |
| YOLOv1 |
|
|
| SSD |
√ |
|
| R-FCN |
|
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| YOLOv2 |
|
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| FPN |
|
√ |
| DSSD |
|
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| Mask R-CNN |
|
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| DCN |
|
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| RetinaNet |
|
√ |
| Light-head R-CNN |
|
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| Relation Network |
|
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| SNIP |
|
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| Cascade R-CNN |
|
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| R-FCN-3000 |
|
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| PAN |
|
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| YOLOv3 |
|
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| DetNet |
|
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| SNIPER |
|
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Encode/Decode Handling
Role: normalize the target, making the regression task simple.
| Algorithm |
PlanA |
PlanB |
PlanC |
| R-CNN |
√ |
|
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| SPPNet |
√ |
|
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| Fast R-CNN |
|
√ |
|
| Faster R-CNN |
|
√ |
|
| YOLOv1 |
|
|
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| SSD |
|
|
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| R-FCN |
|
√ |
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| YOLOv2 |
|
|
√ |
| FPN |
|
√ |
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| DSSD |
|
|
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| Mask R-CNN |
|
√ |
|
| DCN |
|
√ |
|
| RetinaNet |
|
√ |
|
| Light-head R-CNN |
|
√ |
|
| Relation Network |
|
√ |
|
| SNIP |
|
√ |
|
| Cascade R-CNN |
|
√ |
|
| R-FCN-3000 |
|
√ |
|
| PAN |
|
√ |
|
| YOLOv3 |
|
√ |
|
| DetNet |
|
√ |
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| SNIPER |
|
√ |
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