028PengXie's Stars
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
wenhwu/awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
4uiiurz1/pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
Andy-zhujunwen/UNET-ZOO
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
wgcban/ChangeFormer
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
justchenhao/STANet
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
justchenhao/BIT_CD
Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"
LiheYoung/SenseEarth2020-ChangeDetection
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images
Official implement of Paper:A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images
rcdaudt/fully_convolutional_change_detection
dansuh17/alexnet-pytorch
Pytorch Implementation of AlexNet
msyim/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
abhijeet3922/Change-Detection-in-Satellite-Imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
lehaifeng/DASNet
jiecaoyu/pytorch_imagenet
PyTorch implementation of AlexNet
dlmacedo/entropic-out-of-distribution-detection
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
MinZHANG-WHU/FDCNN
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
businiaoo/PRCV2021-Change-Detection-Contest-2nd-place-Solution
Remote sensing building change detection
liumency/SRCDNet
The pytorch implementation for "Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions ".
ChenHongruixuan/KPCAMNet
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
liumency/DSAMNet
Codes for “A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection”
ShaoRuizhe/SUNet-change_detection
Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network
Lornatang/GoogLeNet-PyTorch
Restore the official code 100% and improve it to make it easier to use.
WangZhenqing-RS/2021rsipac_changeDetection_TOP4
wangle53/TransCD
A Transformer-based model for scene change detection
78666621/2021rsipac_changeDetection_TOP5
2021“昇腾杯”遥感影像智能处理算法掌握发展过程三等奖(TOP5)方案分析:https://zhuanlan.zhihu.com/p/453136594解决方案说明: train.py 用于训练 test.py 用于推理
wzjialang/MFPNet
[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
xuquanfu/capsule_change_detection