Papers with Code · CC BY-SA 4.0
Action Recognition
Action Recognition is a computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes.
In the video domain, it is an open question whether training an action classification network on a sufficiently large dataset, will give a similar boost in performance when applied to a different temporal task or dataset. The challenges of building video datasets has meant that most popular benchmarks for action recognition are small, having on the order of 10k videos.
Please note some benchmarks may be located in the Action Classification or Video Classification tasks, e.g. Kinetics-400.
하위 태스크
3A
3D Action Recognition
SA
Self-Supervised Action Recognition
AR
Action Recognition In Videos
AT
Action Triplet Recognition
FS
Few Shot Action Recognition
AA
Atomic action recognition
SH
Self-Supervised Human Action Recognition
MR
Micro-Action Recognition
OS
Open Set Action Recognition
OV
Open Vocabulary Action Recognition
AR
Action Recognition In Still Images
AA
Animal Action Recognition
FA
Fine-grained Action Recognition
TM
Transportation Mode Detection
WA
Weakly-Supervised Action Recognition