qingtian-k's repositories
Q-calculator
高性能优惠叠加计算框架
repository-summary
仓库/笔记 越来越多，本人一些质量还不错的项目/笔记汇总
FCN-CD-PyTorch
Training code for https://github.com/rcdaudt/fully_convolutional_change_detection
Image_Process_Task
This is the task of the digital image process
High-Resolution-Remote-Sensing-Semantic-Segmentation-PyTorch
PyTorch实现高分遥感语义分割（地物分类）
Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
caladrius
Automated Damage Assessment using Deep Learning
STANet
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
CaNet
The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges
DTCDSCN
the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model "
PlotNeuralNet
Latex code for making neural networks diagrams
remote_sensing_change_detection
n unoffice reimpliment for main remote sensing change detection network. including CDNet FC-EF FC-EF-conc FC-EF-diff FC-EF-Res FCN-PP UNet_ASPP UNet++ and some work of main
xview2
Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed.
lkk-xview2
Computer Vision for Building Damage Assessment using satellite imagery of natural disasters
xview2_4th_solution
xView2_fourth_place
Res2Net-PretrainedModels
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
pytorch-image-classification
use pytorch to do image classfiication tasks
VGG16
A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer
psa
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
PR-Task3_convolution_network
The third task of Pattern Recognition class---Convolution network for MNIST
SimpleCVReproduction
reproduce the simplest cv work including classification, object detection, segmentation etc.
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
land-cover
Code for training and testing deep learning based land cover models.
CorrFusionNet
Code for CorrFusionNet: Correlation based Fusion Network Towards Multi-Temporal Scene Classification and Change Detection
ACFNet
ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)