Action Classification
Action Classification is an important sub-task in the field of computer vision, focusing on recognizing and categorizing human actions in videos. This task aims to accurately classify different types of actions into predefined categories by analyzing dynamic features in video sequences, thereby achieving automatic understanding of human activities. Its application value is extensive, including but not limited to intelligent surveillance, human-computer interaction, sports analysis, and other fields, which can significantly enhance the intelligence level of systems and user experience.
ActivityNet
UniFormerV2-L
ActivityNet-1.2
W-TALC
AViD
TokenLearner
BABEL
2s-AGCN
CelebV-HQ
Charades
TokenLearner
Diving-48
DualPath w/ ViT-B/16
HMDB51
Jester test
Kinetics-400
InternVideo
Kinetics-600
MViT-L (train from scratch)
Kinetics-700
Kinetics-700-2020
ALIP-ViT B/32 LAION30M
Kinetics-Sounds
MiniKinetics
MARS+RGB+Flow (16 frames)
MIT
InternVideo2-6B
Moments in Time
Something-Something V2
AdaMAE
THUMOS'14
3C-Net
THUMOS’14
3C-Net
Toyota Smarthome dataset
π-ViT
TTStroke-21 ME22
RGB and PRGB
TTStroke-21 ME21
UCF101
Ours
WiGesture
YouCook2
VideoBERT (cross modal)
MoViNet-A6