ViTAE-Transformer/LeMeViT
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
This tool helps remote sensing analysts efficiently interpret satellite and aerial imagery. It takes large remote sensing images as input and processes them more quickly than existing methods, allowing for faster classification of scenes, detection of objects, and identification of changes in the landscape. Scientists, environmental monitors, urban planners, and defense analysts can use this to get actionable insights from their geospatial data.
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Use this if you need to process large volumes of remote sensing imagery for tasks like land cover classification, object identification, or change detection and require a solution that is both accurate and computationally efficient.
Not ideal if your primary focus is on natural images rather than remote sensing data, or if your computational resources are not a significant constraint.
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Python
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Last pushed
Nov 11, 2024
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