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SOTA
骨格ベースの行動認識
Skeleton Based Action Recognition On Kinetics
Skeleton Based Action Recognition On Kinetics
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Accuracy
Paper Title
Structured Keypoint Pooling (PPNv2 skeletons+objects)
52.3
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling
ProtoGCN
51.9
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition
Structured Keypoint Pooling (HRNet skeletons)
50.3
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling
PoseC3D (SlowOnly-346)
49.1
Revisiting Skeleton-based Action Recognition
PoseC3D
47.7
Revisiting Skeleton-based Action Recognition
Structured Keypoint Pooling (PPNv2 skeletons)
43.1
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling
HD-GCN
40.9
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
2s-AGCN+TEM
38.6
Temporal Extension Module for Skeleton-Based Action Recognition
DualHead-Net
38.4
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
MS-G3D
38.0
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Dynamic GCN
37.9
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
MS-AAGCN
37.8
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
CGCN
37.5
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
ST-TR-agcn
37.4
Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks
JB-AAGCN
37.4
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
GCN-NAS
37.1
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
DGNN
36.9
Skeleton-Based Action Recognition With Directed Graph Neural Networks
AGCN (2-stream)
36.9
Continual Spatio-Temporal Graph Convolutional Networks
SLnL-rFA
36.6
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention
AGCN (1-stream)
35
Continual Spatio-Temporal Graph Convolutional Networks
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