wangq95 Goto Github PK
Name: wangq95
Type: User
Company: Tencent
Location: Shanghai, People's Republic of China
Name: wangq95
Type: User
Company: Tencent
Location: Shanghai, People's Republic of China
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Code for AutoNL on ImageNet (CVPR2020)
:metal: awesome-semantic-segmentation
nonofficial implementation of paper "Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation"
Caffe: a fast open framework for deep learning.
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
PyTorch implementation of Conditional Random Fields as Recurrent Neural Networks (CRFasRNN), ICCV 2015 for semantic segmentation.
Dual Attention Network for Scene Segmentation (CVPR2019)
learn in datamining
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
A collection of various deep learning architectures, models, and tips
OpenCV Implementation of different optical flow algorithms
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Dilated Convolution for Semantic Image Segmentation
A memory-efficient implementation of DenseNets
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Functional ANOVA
A PyTorch Implementation of Focal Loss.
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.