Video Object Segmentation with the DAVIS Challenge Team
Software Engineering Daily · softwareengineeringdaily.com
Audio is streamed directly from the publisher (traffic.megaphone.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Video object segmentation allows computer vision to identify objects as they move through space in a video. The DAVIS challenge is a contest among machine learning researchers working off of a shared dataset of annotated videos.
The organizers of the DAVIS challenge join the show today to explain how video object segmentation models are trained and how different competitors take part in the DAVIS challenge. A good companion to this episode is our discussion of Convolutional Neural Networks with Matt Zeiler.
Software Engineering Daily is looking for sponsors for Q3. If your company has a product or service, or if you are hiring, Software Engineering Daily reaches 23,000 developers listening daily. Send me an email: [email protected]
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.