YupeiLin2388/Diff-Mosaic
[TGRS 2024]Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior
This project helps improve the detection of very small objects in infrared images. It takes your existing infrared imagery, especially those with tiny, hard-to-see targets, and generates augmented, more realistic versions of these images. The output is a set of enhanced infrared images that can be used to train better target detection systems, which is useful for surveillance, search and rescue, or military applications.
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Use this if you need to detect extremely small targets in infrared imagery and your current detection models struggle due to a lack of diverse or challenging training data.
Not ideal if you are working with visible light images or if your primary goal is general object detection rather than specialized small target identification in infrared.
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20
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Language
Python
License
MIT
Category
Last pushed
Sep 18, 2025
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0
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