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README.md
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## 🔥 Featured Projects
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### CASWiT
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**Context-Aware Semantic Segmentation with Transformers**
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CASWiT is a research framework designed for **ultra-high-resolution semantic segmentation**, leveraging **context-aware Transformer architectures** to efficiently combine local details and large-scale contextual information.
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👉 Check out the related models, baselines, and demos on our Hugging Face page.
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### GridNet-HD
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**High-Definition Benchmark for Geospatial Semantic Segmentation**
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GridNet-HD is a benchmark dataset dedicated to **semantic segmentation of very high-resolution geospatial imagery**, designed to support:
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- Fair comparison of methods
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- Reproducible evaluation
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- Research on scalability and context modeling
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It includes datasets, baselines, viewers, and leaderboards.
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## Research Topics
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- Semantic segmentation (2D / 3D)
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- Multimodal fusion (image–LiDAR)
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## Resources
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### Datasets
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- GridNet-HD and related datasets
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- Additional geospatial benchmarks (see repositories)
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### Models & Baselines
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- CASWiT architectures and experiments
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- Image and multimodal baselines for GridNet-HD
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### Spaces & Demos
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- Interactive viewers
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- Leaderboards and evaluation tools
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## Contributing
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Contributions are welcome:
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- Open an issue for bugs or questions
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- Submit pull requests with clear descriptions and reproducible code
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- Use existing benchmarks for fair comparison
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## Contact
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For collaborations, research questions, or dataset usage:
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## Research Topics
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- Semantic segmentation (2D / 3D)
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- Multimodal fusion (image–LiDAR)
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## Contact
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For collaborations, research questions, or dataset usage:
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