DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

PyTorch Implementation for DR Loss

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Deformable Convolutional Networks

Tensorflow implementation of YOLO, including training and test phase.

State-of-the-art 2D and 3D Face Analysis Project

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"

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

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

Face recognition using Tensorflow

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

🔥 2D and 3D Face alignment library build using pytorch

Caffe for Deep Compression

mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

C++ transcripts of the Caffe2 Python tutorials and other C++ example code

Easily deploy multi-GPU caffe on Windows or Linux

face detection alignment recognition reconstruction ...

3D Morphable Model software (https://www.cs.cmu.edu/~efros/courses/AP06/Papers/Blanz-siggraph-99.pdf)