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Few Shot Action Recognition On Kinetics 100

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Name Tuning	94.7	Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
AMeFu-Net	86.8	Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
STRM	86.7	Spatio-temporal Relation Modeling for Few-shot Action Recognition
HyRSM	86.1	Hybrid Relation Guided Set Matching for Few-shot Action Recognition
TRX	85.9	Temporal-Relational CrossTransformers for Few-Shot Action Recognition
OTAM	85.8	Few-Shot Video Classification via Temporal Alignment	-
ARN	82.4	Few-shot Action Recognition with Permutation-invariant Attention
TARN	78.5	TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition	-

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Few Shot Action Recognition On Kinetics 100 | SOTA | HyperAI