TEZARNet: TEmporal Zero-Shot Activity Recognition Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8184-7_34
Reference23 articles.
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4. Chen, C., Jafari, R., Kehtarnavaz, N.: Utd-mhad: a multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 168–172 (2015)
5. Cheng, H.T., Griss, M., Davis, P., Li, J., You, D.: Towards zero-shot learning for human activity recognition using semantic attribute sequence model. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 355–358 (2013)
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