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pytorch-ppn

Pytorch implementation of Pose Partition Networks for Multi-Person Pose Estimation (ECCV'18)

pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_hmr

pytorch version of "End-to-end Recovery of Human Shape and Pose"

pytorch_rfcn

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

rcnn

R-CNN: Regions with Convolutional Neural Network Features

rcpr

C++ code for Sketch and RGB Image Face Alignment in the Wild

reltracker

Implementation of "Non-linear Predictors for Facial feature Tracking across Pose and Expression"

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

residual-attention-network

Residual Attention Network for Image Classification

retrieval-2016-deepvision

Faster R-CNN features for Instance Search

rg-mpii

rmpe

RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.

roi_pooling

ROIPooling for pytorch

sacnn-crowdcounting-tencent_youtu

Crowd Counting Via Scale-adaptive Convolutional Neural Network

sadrnet

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

scikit-learn

scikit-learn: machine learning in Python

semgcn

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

sparseprop

Temporal action proposals

sphereface

Deep face recognition pipeline with SphereFace (Caffe).

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

sst

SST: Single-Stream Temporal Action Proposal

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stargan

Official Implementation of StarGAN - CVPR 2018

stochastic_depth

Code for "Deep Networks with Stochastic Depth"

supervision-by-registration

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

surfacenormalestimation

Estimation of 3D shape of Scene in terms of Surface Normals suing CNNs

tcdcn-face-alignment

Matlab implementation of facial landmark detection by deep multi-task learning

tdan-vsr-cvpr-2020

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020