justinkay/aldi
Align and Distill: Unifying and Improving Domain Adaptive Object Detection (TMLR Featured 2025)
This project helps operations engineers, quality control specialists, or anyone using visual inspections to identify objects in images. It takes images from one environment where you have labeled examples (e.g., simulated data or lab conditions) and helps apply an object detection model effectively to new, real-world images where you lack labels (e.g., field deployments, new lighting). The output is a more accurate object detection model for your target environment.
No commits in the last 6 months.
Use this if you need to deploy object detection models in new visual environments or conditions without the time and expense of manually labeling thousands of new images.
Not ideal if you have ample labeled data for your exact target environment or if you are not working with object detection models.
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77
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10
Language
Python
License
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Last pushed
Jun 18, 2025
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