Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Can conditional autoencoders be used for regression predictions on an image?

I have a question regarding the use of C-VAE.

Say you had an image you want to do pose estimation on, and you have 1 or 2 landmarks but not the rest. How can you leverage this information as a prior as well as encode some kind of shape constraint implicitly? Could you use C-VAE’s somehow to represent possible human poses in the latent space, and then condition it using the ground truth landmarks along with the predicted heatmap? If not, how else could you model this?

Any advice, reading material or pointers would be hugely appreciated. Thanks!

submitted by /u/twigface
[link] [comments]