028PengXie's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
l0o0/jasminum
A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件,用于识别中文元数据
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
HRNet/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Tramac/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)
HuCaoFighting/Swin-Unet
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
facebookresearch/ConvNeXt-V2
Code release for ConvNeXt V2 model
SwinTransformer/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
MinZHANG-WHU/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.
TommyZihao/MMSegmentation_Tutorials
Jupyter notebook tutorials for MMSegmentation
MCG-NJU/MixFormer
[CVPR 2022 Oral & TPAMI 2024] MixFormer: End-to-End Tracking with Iterative Mixed Attention
ViTAE-Transformer/Remote-Sensing-RVSA
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
likyoo/change_detection.pytorch
Deep learning models for change detection of remote sensing images
wgcban/ddpm-cd
Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
wgcban/SemiCD
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
AndreaCodegoni/Tiny_model_4_CD
Official implementation of TinyCD: A (Not So) Deep Learning Model For Change Detection
likyoo/BAN
The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
ChengxiHAN/HANet-CD
HANet: A Hierarchical Attention Network for Change Detection
Cwuwhu/FCD-GAN-pytorch
A pytorch project of the algorithm FCD-GAN. Fully Convolutional Change Detection Framework with Generative Adversarial Network (FCD-GAN) is a newly proposed framework for change detection in multi-temporal remote sensing images.
Z-Zheng/ever
Earth Vision Foundation
ChengxiHAN/CGNet-CD
WangZhenqing-RS/2022rsipac
VMarsocci/3DCD
Remote sensing elevation (3D) change detection with deep learning
ChengxiHAN/HCGMNet-CD
xiaoxiangAQ/GAS-Net
A PyTorch implementation of GAS-Net based on the paper "Global-Aware Siamese Network for Change Detection on Remote Sensing Images"
QingleGuo/MSPSNet-Change-Detection-TGRS
The Pytorch implementation for Deep Multiscale Siamese Network with Parallel Convolutional Structure and Self-Attention for Change Detection (MSPSNet)
wjj282439449/CDNeXt
Official Implemention for "CDNeXt: Remote Sensing Image Change Detection Based on Temporospatial Interactive Attention Module"
SQD1/MTCNet
Multitask consistency network with single temporal supervision for semi-supervised building change detection
cuiwei118/MapsNet
[JAG 2022]The codes for the work "MapsNet: Multi-level feature constraint and fusion network for change detection"