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MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

This repository provides a PyTorch implementation of the paper MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation.

An extended version has been published in TPAMI Link.

Tested with:

Qualitative Results:

<div align="center"> <a href="https://www.youtube.com/watch?v=9XphWB9w7p8"><img src="https://img.youtube.com/vi/9XphWB9w7p8/0.jpg" alt="IMAGE ALT TEXT"></a> </div>

Training:

Prediction:

Run python main.py --action=predict --dataset=DS --split=SP.

Evaluation:

Run python eval.py --dataset=DS --split=SP.

Citation:

If you use the code, please cite

Y. Abu Farha and J. Gall.
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

S. Li, Y. Abu Farha, Y. Liu, MM. Cheng,  and J. Gall.
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation.
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020