Skeleton Based Action Recognition On Uav

Metriken

CSv1(%)

CSv2(%)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
HDBN	47.96	75.36	HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
DSCNet (RGB + Pose)	47.3	71.1	A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities
TD-GCN	45.43	72.86	Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
MSSTNet	43.0	70.1	Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition
Shift-GCN	37.98	67.04	Skeleton-Based Action Recognition With Shift Graph Convolutional Network
HARD-Net	36.97	-	HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction
2S-AGCN	34.84	66.68	Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
ST-GCN	30.25	56.14	Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
DGNN	29.90	-	Skeleton-Based Action Recognition With Directed Graph Neural Networks

0 of 9 row(s) selected.

Skeleton Based Action Recognition On Uav | SOTA | HyperAI