Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Author:

Lea Colin,Vidal René,Reiter Austin,Hager Gregory D.

Publisher

Springer International Publishing

Reference21 articles.

1. Badrinarayanan, V., Handa, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling. arXiv preprint arXiv:1505.07293 (2015)

2. Lecture Notes in Computer Science;R DiPietro,2016

3. Fathi, A., Farhadi, A., Rehg, J.M.: Understanding egocentric activities. In: ICCV (2011)

4. Fathi, A., Xiaofeng, R., Rehg, J.M.: Learning to recognize objects in egocentric activities. In: CVPR (2011)

5. Gao, Y., Vedula, S.S., Reiley, C.E., Ahmidi, N., Varadarajan, B., Lin, H.C., Tao, L., Zappella, L., Béjar, B., Yuh, D.D., et al.: JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS): a surgical activity dataset for human motion modeling. In: MICCAI Workshop: M2CAI (2014)

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