shaochengjia Goto Github PK
Name: Shaocheng JIA
Type: User
Name: Shaocheng JIA
Type: User
This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Active Learning on Image Data using Bayesian ConvNets
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Interpreting Bayesian inference as continual learning with a CNN
A Python implementation of global optimization with gaussian processes.
Master programming by recreating your favorite technologies from scratch.
Implementation of a Preemptive RANSAC algorithm for Camera Motion Estimation
README and scripts for the Cityscapes Dataset
This repository contains the reference implementation for our proposed Convolutional CRFs.
Implementation of Convolutional LSTM in PyTorch.
提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转,也提供了解析高德地址的方法的python版本
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
A PyTorch implementation of EfficientNet
Get two frames from vehicle camera videos , and estimate the distance between the vehicle and the traffic sign . Divide the problem to two subproblems : Matching Problem , vision tasks such as stereo and motion estimation require finding corresponding features across two or more views. To solve that we used Harris Corner Detector The depth estimation problem, solving by triangle imagination equation .
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Computational framework for reinforcement learning in traffic control
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FSLNet
Grokking Deep Reinforcement Learning
Global Filter Networks for Image Classification
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.