Pinned Repositories
Adversarial-Pose-Estimation
A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)
attention-lvcsr
End-to-End Attention-Based Large Vocabulary Speech Recognition
AutoPortraitMatting
Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
awesome-image-rectification
📝 A curated list of image rectification papers.
cascaded_mobilenet-v2
cascaded convolutional neural network for facial point detection
chainer-partial_convolution_image_inpainting
Reproduction of Nvidia image inpainting paper "Image Inpainting for Irregular Holes Using Partial Convolutions"
hctsa
Highly comparative time-series analysis code repository
matting_human_datasets
人像matting数据集，包含34427张图像和对应的matting结果图。
PRNet
The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.
shenshenzhanzhan's Repositories
shenshenzhanzhan/Adversarial-Pose-Estimation
A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)
shenshenzhanzhan/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
shenshenzhanzhan/awesome-image-rectification
📝 A curated list of image rectification papers.
shenshenzhanzhan/ConfidNet
Addressing Failure Prediction by Learning Model Confidence
shenshenzhanzhan/convolutional-pose-machines-tensorflow
shenshenzhanzhan/cvpr2019
cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理
shenshenzhanzhan/CVPR2020-Code
CVPR 2020 论文开源项目合集
shenshenzhanzhan/Deep-Convolutional-Network-Cascade-for-Facial-Point-Detection
TensorFlow implementation of cascade CNN, trained level-by-level
shenshenzhanzhan/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
shenshenzhanzhan/deep-learning-for-document-dewarping
An application of high resolution GANs to dewarp images of perturbed documents
shenshenzhanzhan/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
shenshenzhanzhan/deeppose
DeepPose implementation in Chainer
shenshenzhanzhan/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
shenshenzhanzhan/DEye
Keep an Eye on Defects Inspection.
shenshenzhanzhan/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
shenshenzhanzhan/DocProj
Document Rectification and Illumination Correction using a Patch-based CNN
shenshenzhanzhan/Document-Image-Dewarping
Document Image Dewarping
shenshenzhanzhan/dsntnn
PyTorch implementation of DSNT
shenshenzhanzhan/DUL
PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)
shenshenzhanzhan/dul-pytorch
[2020-CVPR]Data Uncertainty Learning in Face Recognition
shenshenzhanzhan/EAST
A tensorflow implementation of EAST text detector
shenshenzhanzhan/FOTS.PyTorch
FOTS Pytorch Implementation
shenshenzhanzhan/GeoProj
Blind Geometric Distortion Correction on Images Through Deep Learning
shenshenzhanzhan/Grid-R-CNN
shenshenzhanzhan/imgaug
Image augmentation for machine learning experiments.
shenshenzhanzhan/models
Models and examples built with TensorFlow
shenshenzhanzhan/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
shenshenzhanzhan/PMTD
Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.
shenshenzhanzhan/PSENet
shenshenzhanzhan/what
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"