June 17, 2022, 4:05 p.m. | Synced

Synced syncedreview.com

In the new paper VCT: A Video Compression Transformer, a Google Research team presents an elegantly simple but powerful video compression transformer (VCT) that does not require architectural biases and priors and learns totally from data without any hand-crafting. VCT is easy to implement and outperforms conventional video compression approaches.


The post Google Leverages Transformers to Vastly Simplify Neural Video Compression With SOTA Results first appeared on Synced.

ai artificial intelligence compression deep-neural-networks google machine learning machine learning & data science ml research sota technology transformers video video compression

More from syncedreview.com / Synced

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Manager, Data Management & Insights Asia

@ Swiss Re | Bengaluru, KA, IN

Data Science Co-op

@ Authenticate | United States - Remote

Intern 2024 - Data Engineer, Smart MFG & AI

@ Micron Technology | Taoyuan - Fab 11, Taiwan

Data Engineer

@ Nine | Sydney, Australia