Ai Challenger 2018 Competitions 农作物病害检测

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

A simple yet effective loss function for face verification.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning Book Chinese Translation

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Kernelized Correlation Filter tracker

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

This branch is developed for deep face recognition

Face verification experiment for lfw

Evaluation of the CNN design choices performance on ImageNet-2012.

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

Convolutional Neural Networks

Caffe: a fast open framework for deep learning.

An Experimental Implementation of Face Verification, 96.8% on LFW.

Caffe: a fast open framework for deep learning.