Join the channel membership:
https://www.youtube.com/c/AIPursuit/join
Subscribe to the channel:
https://www.youtube.com/c/AIPursuit?sub_confirmation=1
Support and Donation:
Paypal ⇢ https://paypal.me/tayhengee
Patreon ⇢ https://www.patreon.com/hengee
BTC ⇢ bc1q2r7eymlf20576alvcmryn28tgrvxqw5r30cmpu
ETH ⇢ 0x58c4bD4244686F3b4e636EfeBD159258A5513744
Doge ⇢ DSGNbzuS1s6x81ZSbSHHV5uGDxJXePeyKy
Wanted to own BTC, ETH, or even Dogecoin? Kickstart your crypto portfolio with the largest crypto market Binance with my affiliate link:
https://accounts.binance.com/en/register?ref=27700065
BuyMeACoffee: https://www.buymeacoffee.com/angustay
—————————————————————————————–
The video was published under the license of the Creative Commons Attribution license (reuse allowed) and is reposted for educational purposes.
Source: https://youtu.be/J2NnOVBdvAw
Github: https://github.com/mcv-m6-video/deepvideo-2019
Abstract:
The synchronization of the visual and audio tracks recorded in videos can be used as a supervisory signal for machine learning. This presentation reviews some recent research on this topic exploiting the capabilities of deep neural networks.
Add comment