HyperAI超神经

Few Shot Action Recognition On Kinetics 100

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 8 row(s) selected.

HyperAI超神经

Few Shot Action Recognition On Kinetics 100

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
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

0 of 8 row(s) selected.

Few Shot Action Recognition On Kinetics 100 | SOTA | HyperAI超神经