트렌스포머 기반 오토 인코더
Paper: https://www.ijcai.org/proceedings/2019/727
Code: https://github.com/sodawater/T-CVAE
GitHub - sodawater/T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
Transformer-Based Conditioned Variational Autoencoder for Story Completion - GitHub - sodawater/T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
github.com
출처: https://seunghyun-lee.tistory.com/67
[참고자료] Transformer VAE
논문 리스트 A Transformer-Based Variational Autoencoder for Sentence Generation (IJCNN 2019) Paper: https://ieeexplore.ieee.org/document/8852155 - Domain: Natural language generation - RNN기반 VAE의..
seunghyun-lee.tistory.com
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE (ICCV 2021)
Paper: https://arxiv.org/abs/2104.05670
Site: https://imagine.enpc.fr/~petrovim/actor/
Poster: https://imagine.enpc.fr/~petrovim/actor/poster.pdf
Code: https://github.com/Mathux/ACTOR
ICCV talk: https://youtu.be/De_1NoCXlEw
Related talk(Korean): https://youtu.be/gRJFFEKnf7A
- Domain: Action-conditioned motion generation
transformer anomaly detction
https://github.com/rob-med/awesome-TS-anomaly-detection
GitHub - rob-med/awesome-TS-anomaly-detection: List of tools & datasets for anomaly detection on time-series data.
List of tools & datasets for anomaly detection on time-series data. - GitHub - rob-med/awesome-TS-anomaly-detection: List of tools & datasets for anomaly detection on time-series data.
github.com
How to train ViT
https://arxiv.org/abs/2106.10270
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