Pinned Repositories
AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
AI-News
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
Awesome-Paper-List
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
CE-Net
The manuscript has been accepted in TMI.
conference_call_for_paper
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
DANet-keras
keras-Dual Attention Network for Scene Segmentation
Java-mianshi-note
【一线互联网大厂Java核心面试题库】Java基础、异常、集合、并发编程、JVM、Spring全家桶、MyBatis、Redis、数据库、中间件MQ、Dubbo、Linux、Tomcat、ZooKeeper、Netty等等...
Lightweight-Segmentation
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Medical-Image-Fusion
Implementation of "A Semantic-based Medical Image Fusion Approach" paper
xiaoketongxue's Repositories
xiaoketongxue/Medical-Image-Fusion
Implementation of "A Semantic-based Medical Image Fusion Approach" paper
xiaoketongxue/AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
xiaoketongxue/conference_call_for_paper
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
xiaoketongxue/octconv-pytorch
Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)
xiaoketongxue/AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
xiaoketongxue/Autofocus-Layer
Autofocus Layer for Semantic Segmentation
xiaoketongxue/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet)
xiaoketongxue/ConvNets
research and implementations of CNNs and their applications
xiaoketongxue/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
xiaoketongxue/DFANet
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
xiaoketongxue/download
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
xiaoketongxue/DUpsampling
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
xiaoketongxue/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
xiaoketongxue/erfnet_pytorch
Pytorch code for semantic segmentation using ERFNet
xiaoketongxue/ESPNet
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
xiaoketongxue/ESPNetv2
A light-weight, power efficient, and general purpose convolutional neural network
xiaoketongxue/Fast-SCNN-pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
xiaoketongxue/FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
xiaoketongxue/IPMI2019-AttnMel
IPMI2019 paper - Melanoma Recognition via Visual Attention
xiaoketongxue/keras-octconv
Keras implementation of Octave Convolutions
xiaoketongxue/ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
xiaoketongxue/models
Models and examples built with TensorFlow
xiaoketongxue/RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
xiaoketongxue/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
xiaoketongxue/ShelfNet
implementation of a CNN model for semantic segmentation
xiaoketongxue/SKNet
xiaoketongxue/SKNet-1
try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch
xiaoketongxue/squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
xiaoketongxue/textcaps
A novel data generation technique with Capsule Networks
xiaoketongxue/ultra_high_resolution_segmentation
code used for CVPR2019 oral "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images"