SimVA constructs a 4D similarity volume over video tokens and action classes then applies spatial, motion-aware, and Mamba-based temporal aggregation to achieve competitive zero-shot and few-shot performance on open-vocabulary action recognition benchmarks.
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Spatio-Temporal Similarity Volume Aggregation for Open-Vocabulary Action Recognition
SimVA constructs a 4D similarity volume over video tokens and action classes then applies spatial, motion-aware, and Mamba-based temporal aggregation to achieve competitive zero-shot and few-shot performance on open-vocabulary action recognition benchmarks.