Skip to content

Latest commit

 

History

History
16 lines (9 loc) · 715 Bytes

README.md

File metadata and controls

16 lines (9 loc) · 715 Bytes

ActionClassification

Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)

The goal of this project was to classify each segment from the Breakfast dataset to any of the 47 sub-actions (excluding SIL).

I have used two Action Classification models -

  • Encoder- Decoder Temporal Convolutional Network (ED-TCN)
  • Multi - Stage Temporal Convolutional Network (MS-TCN)

The sole purpose of this project was to explore various TCN models for Action Classification task.

Reference

Carreira J, Zisserman A. Quo vadis, action recognition - a new model and the kinetics dataset[C]//proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 6299-6308.