lzb863 Goto Github PK
Name: Lizhanbin
Type: User
Bio: Research interests include computer vision, machine learning, and multimedia
Location: shenzhen.china
Name: Lizhanbin
Type: User
Bio: Research interests include computer vision, machine learning, and multimedia
Location: shenzhen.china
Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)
ROS nodes for robust lane detection on grass and automatic inverse perspective transformation
CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.
Rank the papers accepted to CVPR 2019 by the number of stars in their github repository
Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Dual Attention Network for Scene Segmentation (CVPR2019)
A paper list of semantic segmentation using deep learning.
Try to set better baseline for famous CNN models. Build model with Keras and train with Tensorflow session.
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Semantic Segmentation and Depth Measurement Software
DeepLabV3+ implemented in TensorFlow2.0
DeepLabV3+ implementation using MobileNetV2 as backbone
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
On-Demand Highway Autonomy
cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric
Repo for DSNet for Real-Time Driving Scene Semantic Segmentation
Lane Detection using Image Segmentation - Berkeley BDD 100K Dataset
This repository contains the source code of our work on designing efficient CNNs for computer vision
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
自己的Enet网络
This project is ENet, a deeplearning network, base in Tensorflow-mobile( Android)。
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Code for ESPNet(Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation) in Tensorflow.
A light-weight, power efficient, and general purpose convolutional neural network
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.