qingtian-k

Test-2-Minibatch-SGD

minibatch-SGD algorium using pandas dataset

ACFNet

ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)

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)

caladrius

Automated Damage Assessment using Deep Learning

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

CorrFusionNet

Code for CorrFusionNet: Correlation based Fusion Network Towards Multi-Temporal Scene Classification and Change Detection

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。

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

DTCDSCN

the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model "

FCN-CD-PyTorch

Training code for https://github.com/rcdaudt/fully_convolutional_change_detection

Few-Shot-Semantic-Segmentation-Papers

Few Shot Semantic Segmentation Papers

forest_change_detection

High-Resolution-Remote-Sensing-Semantic-Segmentation-PyTorch

PyTorch实现高分遥感语义分割（地物分类）

Image_Process_Task

This is the task of the digital image process

land-cover

Code for training and testing deep learning based land cover models.

Land-Cover-Change-Detection

lkk-xview2

Computer Vision for Building Damage Assessment using satellite imagery of natural disasters

PlotNeuralNet

Latex code for making neural networks diagrams

PR-Task3_convolution_network

The third task of Pattern Recognition class---Convolution network for MNIST

psa

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

pytorch-image-classification

use pytorch to do image classfiication tasks

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

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

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

SimpleCVReproduction

reproduce the simplest cv work including classification, object detection, segmentation etc.

STANet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

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

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.

xview2_4th_solution

xView2_fourth_place