GZQ0723
Graduate student, the main direction is computer vision! WeChat public number:ComputerVisionGzq 微信号：ComputerVisionGzq
xidian universitychina
Pinned Repositories
Capturing-Discriminative-Features
deep-Shareable-and-Discriminative-features
Shareable and Discriminative features for image classification.
Edison-mnist
Mnist. I write something about how to generate data. If i have some problem，please tell me，let's study together！Thanks！
Face_Recognition-High_Performance
High Performance Face Recognition
Face_Recognition_EasyVersion
Face recognition, if you are interested, please do it yourself.
High-Performance-Face-Recognition
🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥
PeleeNet
A Real-Time Object Detection System on Mobile Devices
PVANet
PVANET: Lightweight Deep Neural Networks for Real-time Object Detection
vatic_BasicFinder-HIVE
YoloV4
object detection \ yolov4
GZQ0723's Repositories
GZQ0723/PeleeNet
A Real-Time Object Detection System on Mobile Devices
GZQ0723/YoloV4
object detection \ yolov4
GZQ0723/vatic_BasicFinder-HIVE
GZQ0723/PVANet
PVANET: Lightweight Deep Neural Networks for Real-time Object Detection
GZQ0723/Face_Recognition-High_Performance
High Performance Face Recognition
GZQ0723/Capturing-Discriminative-Features
GZQ0723/deep-Shareable-and-Discriminative-features
Shareable and Discriminative features for image classification.
GZQ0723/Edison-mnist
Mnist. I write something about how to generate data. If i have some problem，please tell me，let's study together！Thanks！
GZQ0723/Face_Recognition_EasyVersion
Face recognition, if you are interested, please do it yourself.
GZQ0723/High-Performance-Face-Recognition
🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥
GZQ0723/Models
采用MegEngine实现的各种主流深度学习模型
GZQ0723/Network
Simple summaries for deep learning and machine learning researchers
GZQ0723/Pelee
Pelee: A Real-Time Object Detection System on Mobile Devices
GZQ0723/pytorch-YOLOv4
GZQ0723/Tutorial
GZQ0723/vatic
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. IJCV 2012