carlobretti/object-scene-compositions-for-actions
Code base for BMVC21 paper on zero-shot action recognition from object and scene compositions
This project helps computer vision researchers evaluate models that can recognize actions in videos without needing to be explicitly trained on those specific actions. It takes in video datasets, object and scene predictions for those videos, and action labels, then outputs action recognition predictions. A computer vision researcher or ML engineer working on video analysis would use this tool.
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Use this if you are a computer vision researcher developing or evaluating zero-shot action recognition models and need a robust framework for testing performance.
Not ideal if you need a pre-trained, production-ready system for action recognition, as this is a research framework for model evaluation.
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Mar 25, 2022
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