인공지능

anomaly transformer (camera data)

두번째하늘 2022. 5. 1. 00:29
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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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