FreeZAD applies vision-language models with LogOIC scoring and frequency-based actionness calibration for training-free zero-shot temporal action detection, outperforming unsupervised methods on THUMOS14 and ActivityNet-1.3 while using 1/13 the runtime.
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Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models
FreeZAD applies vision-language models with LogOIC scoring and frequency-based actionness calibration for training-free zero-shot temporal action detection, outperforming unsupervised methods on THUMOS14 and ActivityNet-1.3 while using 1/13 the runtime.