TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Author:
Affiliation:
1. Dr. Ing. h.c. F. Porsche AG,Stuttgart,Germany
2. LMU Munich,Germany
3. Institute of Theoretical Computer Science,TU Graz,Austria
4. TU Munich,Germany
Funder
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10289698/10289713/10289753.pdf?arnumber=10289753
Reference22 articles.
1. Emerging Properties in Self-Supervised Vision Transformers
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3. BERT: Pretraining of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018
4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;International Conference on Learning Representations,2021
5. Exploiting Multiple EEG Data Domains with Adversarial Learning
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