https://github.com/pfilipeferreira2004/dynamicvis

This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
https://github.com/pfilipeferreira2004/dynamicvis

change-detection cran foundation-models graphics image-retrieval image-understanding instance-segmentation ips object-detection r remote-sensing scene-classification symcon visualization

Last synced: 3 months ago
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This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"

• Host: GitHub
• URL: https://github.com/pfilipeferreira2004/dynamicvis
• Owner: Pfilipeferreira2004
• License: apache-2.0
• Created: 2025-03-24T01:17:45.000Z (3 months ago)
• Default Branch: release
• Last Pushed: 2025-03-31T04:07:41.000Z (3 months ago)
• Last Synced: 2025-03-31T04:26:25.425Z (3 months ago)
• Topics: change-detection, cran, foundation-models, graphics, image-retrieval, image-understanding, instance-segmentation, ips, object-detection, r, remote-sensing, scene-classification, symcon, visualization
• Language: Jupyter Notebook
• Size: 42.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# DynamicVis: Revolutionizing Remote Sensing Image Understanding

## 🚀 Overview

Welcome to the official repository of **DynamicVis** - an efficient and general visual foundation model for remote sensing image understanding. This repository hosts the implementation of the groundbreaking paper *"DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"*. 

![DynamicVis](https://github.com/Pfilipeferreira2004/DynamicVis/releases)

## 📚 Description

The purpose of this repository is to provide a comprehensive solution for various tasks related to remote sensing image analysis. **DynamicVis** offers capabilities in change detection, computer vision, foundation models, image retrieval, image segmentation, image understanding, instance segmentation, object detection, remote sensing, and scene classification. It serves as a versatile tool for researchers and practitioners in the field of remote sensing.

## 🌟 Key Features

- Change Detection

- Computer Vision Capabilities

- Foundation Models for Visual Understanding

- Image Retrieval

- Image Segmentation

- Instance Segmentation

- Object Detection

- Remote Sensing Analysis

- Scene Classification

## 🔗 Useful Links

- **Repository Link:** [DynamicVis Repository](https://github.com/Pfilipeferreira2004/DynamicVis/releases)

- **Download DynamicVis App:** [https://github.com/Pfilipeferreira2004/DynamicVis/releases Download](https://github.com/Pfilipeferreira2004/DynamicVis/releases)

  (**Note:** The application needs to be launched after downloading.)

- For more information and updates, please visit the **Releases** section of the repository.

## 📈 Contributors

We greatly appreciate all contributions to the **DynamicVis** project. A big thank you to all the individuals who have put their time and effort into making this project a success.

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/Pfilipeferreira2004/DynamicVis/releases) file for details.

## 📧 Contact

For any inquiries or feedback, feel free to reach out to us at *https://github.com/Pfilipeferreira2004/DynamicVis/releases*.

![Thank You](https://github.com/Pfilipeferreira2004/DynamicVis/releases)

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By leveraging the power of **DynamicVis**, the field of remote sensing image understanding is poised to reach new heights. This repository is a testament to innovation in visual foundation models and their applications in diverse domains. Join us on this incredible journey of exploration and discovery in the realm of remote sensing. Let's push the boundaries of what is possible together! 🛰️🌍🔭