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SOTA
Action Classification
Action Classification On Toyota Smarthome
Action Classification On Toyota Smarthome
评估指标
CS
CV1
CV2
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
CS
CV1
CV2
Paper Title
Repository
VPN (RGB + Pose)
60.8
43.8
53.5
VPN: Learning Video-Pose Embedding for Activities of Daily Living
MMNet
70.1
-
-
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
Dense Trajectories
41.9
20.9
23.7
Improved Dense Trajectory with Cross Streams
-
Separable STA (RGB + Pose)
54.2
35.2
50.3
Toyota Smarthome: Real-World Activities of Daily Living
-
π-ViT
72.9
55.2
64.8
Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living
I3D
53.4
34.9
45.1
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
NPL
-
39.6
54.6
Recognizing Actions in Videos from Unseen Viewpoints
-
Trans4SOAR (Pose)
-
-
-
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions
UNIK
64.3
36.1
65.0
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
AIRStreams
62.11
-
-
Adaptive Intermediate Representations for Video Understanding
-
I3D + Non Local
53.6
34.3
43.9
Non-local Neural Networks
AssembleNet++
63.6
-
-
AssembleNet++: Assembling Modality Representations via Attention Connections
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