humansensinglab/POET-continual-action-recognition
Code for the paper: "POET: Prompt Offset Tuning for Continual Human Action Adaptation" (ECCV 2024, Oral)
This tool helps you quickly teach an AI system to recognize new human actions or gestures, even with very few examples. It takes existing AI models trained on a set of known actions and allows you to add new actions without retraining the entire system. For example, if your system can recognize walking and running, you can easily add 'waving' or 'pointing' by providing just a few samples of the new actions. This is ideal for researchers or engineers working on human-computer interaction, surveillance, or fitness tracking applications who need to adapt AI models on the fly.
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Use this if you need to continually expand the set of actions or gestures your AI system can recognize, using minimal new data for each addition and without forgetting previously learned actions.
Not ideal if you are looking for a system to train an action recognition model from scratch, as this tool focuses on efficiently adapting existing models.
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Python
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Last pushed
Apr 25, 2025
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