Action Recognition In Videos
Action recognition in videos is a task in the field of computer vision and pattern recognition, aiming to identify and classify human actions in video sequences. This task achieves intelligent understanding and parsing of video content by analyzing the spatiotemporal dynamic features of actions and mapping them to a predefined set of action categories, such as running, jumping, or swimming. It has significant application value in areas like surveillance, sports analysis, and human-computer interaction.
Jester (Gesture Recognition)
CPNet Res34, 5 CP
UCF101
PKU-MMD
MMNet
Something-Something V2
Kinetics-400
Florence
Something-Something V1
AVA v2.2
YOWO+LFB*
FS-Something-Something V2-Small
ITANet
FS-Something-Something V2-Full
Sports-1M
THUMOS’14
Single-stream R-C3D (two-way buffer)
ActivityNet
LSTM + Pretrained on YT-8M
AVA v2.1
HMDB-51
Kinetics-600
Florence
miniSports
G-Blend
NTU RGB+D
2D-3D-Softargmax (RGB only)