tthinking/DATFuse
[IEEE TCSVT 2023] Official implementation of DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer
This project helps create clearer, more informative images by combining details from two different types of cameras. It takes separate infrared (thermal) images and visible light (standard photo) images as input and produces a single fused image that highlights important features from both. This is useful for professionals in surveillance, autonomous driving, and security who need to see both heat signatures and visual details in one view.
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Use this if you need to merge thermal camera feeds with standard optical camera feeds to get a comprehensive view that captures both heat signatures and visual context.
Not ideal if you are working with a single type of image or require detailed image processing beyond fusion, such as object recognition or segmentation.
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Sep 08, 2024
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