ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing
Collection of research papers and implementations applying deep learning and vision transformers to remote sensing imagery analysis.
Not currently ranked — collecting fresh signals.
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This repository aggregates multiple research works on remote sensing using deep learning approaches, including vision transformers (ViT), self-supervised pretraining, and segmentation models like SAM adapted for satellite/aerial imagery. It covers tasks such as change detection, object detection, semantic segmentation, and classification in geospatial contexts.
Frequently asked
- What is ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing?
- Collection of research papers and implementations applying deep learning and vision transformers to remote sensing imagery analysis.
- Is ViTAE-Transformer-Remote-Sensing open source?
- Yes — ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing is an open-source project tracked on heatdrop.
- What language is ViTAE-Transformer-Remote-Sensing written in?
- ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing is primarily written in TeX.
- How popular is ViTAE-Transformer-Remote-Sensing?
- ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing has 485 stars on GitHub.
- Where can I find ViTAE-Transformer-Remote-Sensing?
- ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing is on GitHub at https://github.com/ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing.