检测
1. 单一物体检测
MTCNN:
Cascade-CNN: https://github.com/anson0910/CNN_face_detection
2. 通用物体检测
Faster-RCNN:
YOLO: https://github.com/pjreddie/darknet
SSD:
RetinaNet: https://github.com/fizyr/keras-retinanet
分类
VGG:
GoogLenet: https://github.com/n3011/Inception_v3_GoogLeNet
Resnet:
Mobilenet: https://github.com/shicai/MobileNet-Caffe
MNasNet:
1. 人脸识别
Deepface: https://github.com/RiweiChen/DeepFace
Normface:
Insightface: https://github.com/deepinsight/insightface
2. 文字识别
DeepOCR:
CTPN: https://github.com/tianzhi0549/CTPN (文字定位)
DenseNet + CTC:
YOLOv3 + CRNN : https://github.com/chineseocr/chineseocr
跟踪
1.
2.
分割
Unet:
mask-rcnn: https://github.com/matterport/Mask_RCNN
RCF:
图像复原
1. 去雨
DDN: https://github.com/XMU-smartdsp/Removing_Rain
CGAN:
DID-MDN: https://github.com/hezhangsprinter/DID-MDN
DeRaindrop:
2. 去雾
MSCNN: https://github.com/dishank-b/MSCNN-Dehazing-Tensorflow
DehazeNet:
3. 超分辨率
SRCNN: https://github.com/tegg89/SRCNN-Tensorflow
EDSR: (https://blog.csdn.net/xjp_xujiping/article/details/81986020)
4.图像单反化
DPED: