xbchen's Projects
Reproduction of Paper "Adversarial Learning for Semi-Supervised Semantic Segmentation" with PaddlePaddle.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
A curated list of resources for Learning with Noisy Labels
Panoptic Segmentation Resources List
papers and codes about parking slot detection
Official code for Understanding Bird’s-Eye View of Road Semantics using an Onboard Camera
Procedural, real time, city generation prototype for Unity3D.
reproduction of efficientdet with paddlepaddle.
Reproduction of Paper "Context Encoding for Semantic Segmentation" with PaddlePaddle.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Object detection and instance segmentation toolkit based on PaddlePaddle.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
Latex code for making neural networks diagrams
Robosense rviz RobotModel for Car, embedded in kitti_ros. https://github.com/LidarPerception/kitti_ros
Paddle version of STDCNet for paper“Rethinking BiSeNet For Real-time Semantic Segmentation”
Project the PointCloud to the image & Generate the LiDAR PointCloud with color.
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
Make your iPad/tablet/computer into a secondary monitor on Linux.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent