TARN uses episode-based meta-learning with temporal attention for alignment and segment-level distance learning to outperform prior methods on few-shot action recognition while remaining competitive on zero-shot.
Multi-task zero-shot action recognition with prioritised data augmentation
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TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
TARN uses episode-based meta-learning with temporal attention for alignment and segment-level distance learning to outperform prior methods on few-shot action recognition while remaining competitive on zero-shot.