xiaoketongxue

CE-Net

The manuscript has been accepted in TMI.

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）

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)

octconv-pytorch

Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)

AutoDeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

Autofocus-Layer

Autofocus Layer for Semantic Segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet)

ConvNets

research and implementations of CNNs and their applications

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

DUpsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

ESPNet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

ESPNetv2

A light-weight, power efficient, and general purpose convolutional neural network

Fast-SCNN-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

FastFCN

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

IPMI2019-AttnMel

IPMI2019 paper - Melanoma Recognition via Visual Attention

keras-octconv

Keras implementation of Octave Convolutions

models

Models and examples built with TensorFlow

MSGAN

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

RandWireNN

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Segmentation.X

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

ShelfNet

implementation of a CNN model for semantic segmentation

SKNet

SKNet-1

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

Source-code-of-medical-image-fusion-in-NSCT-domain

Source Code of Article "A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain"

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

swiftnet

textcaps

A novel data generation technique with Capsule Networks

ultra_high_resolution_segmentation

code used for CVPR2019 oral "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images"