astra-vision/PODA
[ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)
PODA helps computer vision engineers adapt image recognition models to new, unexperienced environments using only a short text description. For example, if you trained a model on daytime images, PODA lets you adapt it to night-time images by simply describing "driving at night." It takes your existing image recognition model and a text description, then outputs an improved model that performs better in the described conditions.
124 stars. No commits in the last 6 months.
Use this if you need to quickly adapt an image recognition or object detection model to a new visual domain without collecting and labeling new training data for that specific domain.
Not ideal if you have ample labeled data for your target domain or if your domain shift is too complex to be described by a single text prompt.
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124
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Language
Python
License
Apache-2.0
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Last pushed
Mar 15, 2025
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