liujie3948 Goto Github PK

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

ademxapp

Code for https://arxiv.org/abs/1611.10080

ageandgenderestimation

age and gender estimation using caffe network

aicamera

Demonstration of using Caffe2 inside an Android application.

caffe-face

This branch is developed for deep face recognition

caffe-mini

Zero dependents caffe for testing phase

caffelstm-ocr

基于caffe的LSTM OCR案例，能够利用该案例完成序列的识别，包括验证码、车牌、身份证号码、地址等长序列动长的内容识别

channel-prune

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

cross-domain-human-parsing-via-adversarial-feature-and-label-adaptation

we propose a novel and efficient cross-domain human parsing model to bridge the cross-domain differences in terms of visual appearance and environment conditions and fully exploit commonalities across domains. Our proposed model explicitly learns a feature compensation net-work, which is specialized for mitigating the cross-domain differences. A discriminative feature adversarial network is introduced to supervise the feature compensation to effectively reduces the discrepancy between feature distributions of two domains. Besides, our proposed model also introduces a structured label adversarial network to guide the parsing results of the target domain to follow the high-order relationships of the structured labels shared across domains. The proposed framework is end-to-end trainable, practical and scalable in real applications. Extensive experiments are con- ducted where LIP dataset is the source domain and 4 different datasets including surveillance videos, movies and run- way shows without any annotations, are evaluated as target domains. The results consistently confirm data efficiency and performance advantages of the proposed method for the challenging cross-domain human parsing problem.

deeplabv3-tensorflow

Reimplementation of DeepLabV3

deepmask

Torch implementation of DeepMask and SharpMask

deformable-convnets

Deformable Convolutional Networks

dilation

Dilated Convolution for Semantic Image Segmentation

dlib_for_arm

optimize dlib (especially face detection) for arm platform

drn

Dilated Residual Networks

elegant

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

face_detect_n_track

Fast and robust face detection and tracking

face_recognition

The world's simplest facial recognition api for Python and the command line

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facear_headposeestimation_staticlib

FaceAR Head Pose Estimation StaticLib

facemakeup

facenet

Face recognition using Tensorflow

fastsceneunderstanding

segmentation, instance segmentation and single image depth

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fddb-evaluation

FDDB Evaluation Software

flandmark

Open-source implementation of facial landmark detector

ihog

Visualizing Object Detection Features. ICCV 2013

impsdm

The Matlab implementation of Supervised Descent Method (SDM) for Face Alignment.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs