Name: Wenchao QI
Type: User
Company: Aerospace Information Research Institute, Chinese Academy of Sciences
Bio: Assistant Researcher at AIR, CAS, China. I'm mainly engaged in deep learning in Hyperspectral Computer Vision.
Location: No. 20, Datun Road, Chaoyang District, Beijing, China
Wenchao QI's Projects
遥感图像的语义分割,分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型,keras+python
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Chainer Implementation of Semantic Segmentation using Adversarial Networks
遥感影像深度学习语义分割
ADVERSARIAL LEARNING FOR SEMI-SUPERVISED SEMANTIC SEGMENTATION tensorflow
Naive implementation of SENet in Keras
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Simple Tensorflow demonstration of bacterial cell (instance) segmentation in phase contrast microscopy images.
trainable fcn+crf net based on keras
A simulation of pollutants diffusing through the air, finite volume element sim.
This is the source code of my graduation thesis named Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks. In this work, I proposed a novel model called spatial attention generative adversarial networks or SpA GAN, which use spatial attention networks (SPANet) as generator.
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
Example data and Keras implementation of a deep convolutional neural network described in "Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network".
Code for "A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery"
An implementation of the neural network described in "Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification"
SS-LSTM model for pedestrian trajectory prediction
Spectral-Spatial exploration for hyperspectral image semantic segmentation via 3D Fully Convolutional Networks
Spectral-Spatial Attention Network for Hyperspectral Image Classification
Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.
This is a tensorflow and keras based implementation of SSRNs in the TGRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Spectral-Spatial Unified Networks for Hyperspectral Image Classification
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
手写实现李航《统计学习方法》书中全部算法
统计学习方法训练营课程作业及答案
Parallel Neural Network for Hyperspectral image classification