An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
Text recognition (optical character recognition) with deep learning methods.
CRAFT-Pyotorch：Character Region Awareness for Text Detection Reimplementation for Pytorch
A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
Implemention of Baidu's DenseBox used for multi-task learning of object detection and landmark(key-point) localization 用PyTorch实现了百度的DenseBox并针对任意宽高比矩形(不仅限于方形)的目标检测做了优化，不仅可以输出关键点的热力图(heatmap)而且可以输出每个bbox对应关键点坐标
Demo code for journal "Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks".
Translate images to unseen domains in the test time with few example images.
ICCV2003, implement by matlab
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Object detection, 3D detection, and pose estimation using center point detection:
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
