zihaodong Goto Github PK
Name: zihao dong
Type: User
Company: NanKai university; Jinan university
Location: Tianjin, Jinan
Name: zihao dong
Type: User
Company: NanKai university; Jinan university
Location: Tianjin, Jinan
Implementation of active contour loss function
PyTorch Implementation of Adaptive Wing Loss and Wing Loss
PyTorch implementation of CASENet
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]
Circleloss pytorch version
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
Keras implementation of crowdNet neural network described in https://arxiv.org/pdf/1608.06197.pdf
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Deep Active Curve Network for Instance Annotation and Segmentation
Circle loss implementation by PyTorch
基于矿区无人机影像的地物提取实验
Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)
A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
Yet another LaTeX-Package for Flowcharts
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
Focal loss implemention by PyTorch
A PyTorch Implementation of Focal Loss.
Weighted Focal Loss for multilabel classification
Holistically-Nested Edge Detection
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
PyTorch implementation of the InfoNCE loss for self-supervised learning.
notes and codes while learning python
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
Code for the Lovász-Softmax loss (CVPR 2018)
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.