---
language:
  - en
tags:
  - image-classification
license: mit
datasets:
  - imagenet
---


# Change Detection Models for National Infrastructure Monitoring

This repository contains a collection of Fine-tuned change detection models developed by Team-1 from San Jose State University as part of the National Infrastructure Monitoring project.

## Models and Contributors

Our team has implemented several state-of-the-art change detection models:

1. **ChangeViT**: Built by Nihar
   - Combines Vision Transformer (ViT) and CNN architectures
   - Excels at detecting both large-scale and fine-grained changes
   - [Nihar's LinkedIn](https://www.linkedin.com/in/nihar-palem-1b955a183/)

2. **BITCD**: Developed by Charishma
   - Uses a transformer-based approach for advanced change detection
   - Processes images as compact token sets for improved efficiency
   - [Charishma's LinkedIn](https://www.linkedin.com/in/sai-charishma-kurmala-080983128/)

3. **ChangeFormer**: Implemented by Keerthana
   - Transformer-based architecture for satellite imagery change detection
   - Captures long-range spatial and temporal dependencies
   - [Keerthana's LinkedIn](https://www.linkedin.com/in/keerthana-raskatla-1573781a4/)

4. **Multi-Modal Adaptation Network**: Content generation by Anbu
   - Combines optical and SAR imagery for robust change detection
   - Utilizes domain adaptation to align features from different image types
   - [Anbu's LinkedIn](https://www.linkedin.com/in/anbuvalluvan/)

5. **Siamese Nested UNet**: Developed by Harika
   - Combines Siamese network and U-Net architectures
   - Excels at image comparison tasks for change detection
   - [Harika's LinkedIn](https://www.linkedin.com/in/harika-boyina/)

## Key Features

- Advanced change detection capabilities for high-resolution satellite imagery
- Utilization of transformer-based approaches for capturing long-range relationships
- Efficient processing of large-scale datasets
- Combination of multiple imaging modalities for improved accuracy
- Scalability to handle various image sizes and resolutions

These models represent cutting-edge approaches in remote sensing and change detection, specifically tailored for national infrastructure monitoring applications.