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Name: BingxinHAN
Type: User
Name: BingxinHAN
Type: User
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)
[CVPR 2023] Exploring High-Quality Pseudo Masks for Weakly Supervised Instance Segmentation
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Code for our CVPR2021 paper coordinate attention
:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
This repository contains the codes for computing crack kinematics using a binary mask that represents a segmented crack. The methodoly hereby implementes was presented in the paper "Determing crack kinematics from imaged crack patterns" by Pantoja-Rosero et., al.
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"
PyTorch Implementation of DeepWindows
FCN implementation on ECP(Ecole Centrale Paris) facades dataset, PyTorch
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation (ICCV21)
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Line3D++ - Multi-View Stereo using Line Segments
A novel local intensity order transformation for robust curvilinear object segmentation(TIP)
This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings using a structure from motion and semantic segmentation. The methodoly hereby implementes was presented in the paper "Generating LOD3 building models from structure-from-motion and semantic segmentation" by Pantoja-Rosero et., al.
This is the official repository for our recent work: PIDNet
Polygonal Surface Reconstruction from Point Clouds
A CV toolkit for my papers.
Implementation of the CVPR paper "Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks"
Rui Qian, Xin Lai, Xirong Li: 3D Object Detection for Autonomous Driving: A Survey (Pattern Recognition 2022: IF=8.518)
This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented in the paper ["TOPO-Loss for continuity-preserving crack detection using deep learning" by Pantoja-Rosero et., al. (2022)](https://www.sciencedirect.com/)
C++ topological loss code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
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.