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Image-to-Image Translation in PyTorch
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A paper list of object detection using deep learning.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
A Change Detection Repo Standing on the Shoulders of Giants
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Building footprint segmentation from satellite and aerial imagery
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.
Semantic Scene Change Detection Network (CSCDNet + SSCDNet)
This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"
Building Segmentation Post-processing -- Contour regularization.
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
1st place solution for "xView2: Assess Building Damage" challenge.
Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.