shiontao Goto Github PK
Name: shiontao
Type: User
Company: Shenzhen University
Bio: Ph.D. student at SZU focuses on medical image computing
Location: Shenzhen
Name: shiontao
Type: User
Company: Shenzhen University
Bio: Ph.D. student at SZU focuses on medical image computing
Location: Shenzhen
3D ResNets for Action Recognition (CVPR 2018)
A SlidingWindow-Free Accurate and Fast 3D Medical Image Segmentation Framework
3D Segmentation Pytorch version(unet basic model)
This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.
The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"
:alarm_clock: top AI deadline countdowns (with an emphasis on medical images)
:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
ASF-ResUNet: Adjacent-Scale Fusion Residual U-Net with Efficient Attention for Medical Image Segmentation
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Awesome Incremental Learning
A curated list of awesome self-supervised methods
Brain Segmentation on MRBrains18
杭电 CAMA-LAB 机器学习暑期研讨班
Automatic segmentation of cardiac MRI and detection of segmentation failures using uncertainty maps
Accelerated DL R&D
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Combining Faster R-CNN and U-net for efficient medical image segmentation
This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei in histology images
Code for Counting with Focus for Free, ICCV, 2019
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC
Dual Attention Network for Scene Segmentation (CVPR2019)
Some practices about deep learning
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,近30万字。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
DenseNet Implementation in Tensorflow
用于detr的各个头部的位置热图/输出热图可视化
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.