- 📫 How to reach me: [email protected].
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Technology being learned:
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Name: Li Xiang
Type: User
Company: @diggerslab, UESTC
Bio: Coordination of Algorithm and Framework Development.
Location: Shenzhen
Languages and Tools:
Technology being learned:
Favorite sites:
Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"
ERNIE Pytorch Version
Evolutionary Algorithm using Python
Face detection and gender recognition
(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
The official Pytorch implementation of paper "FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification" accepted by MICCAI 2023
This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
:construction::construction::construction: Faster R-CNN实现安防中安全帽佩戴目标检测
处理机调度算法-FCFS&RR
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
pytorch implementation for The Fully Convolutional Transformer(FCT)
Fourier Domain Adaptation for Semantic Segmentation
Few Shot Semantic Segmentation Papers
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
[MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)
Flops counter for convolutional networks in pytorch framework
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
Implementation for paper: Feature Pyramid Transformer
PyTorch and PaddlePaddle implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS 2022)
AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
Performed segmentation of optic cup and optic disc on Drishti-GS, RIM-ONE and other retinal image datasets using U-Net and Attention U-Net
眼底病变自动分割
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
A Pytorch implementation of CVPR 2022 paper "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"
Stroke-GFCN: segmentation of Ischemic brain lesions
The official implementation of Generalized Few-shot Semantic Segmentation (CVPR 2022)
通过元胞自动机和CNN预测华盛顿州亚洲大黄蜂分布和分类
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.