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] Spatio-temporal modeling, scalar input

I’m doing video prediction research i.e. predicting the next frame in a video sequence. In essential it’s just a mapping from the past frame into the future frame. I wonder how I can incorporate a scalar input in addition to the input frame.

Since I’m just using CNN operations and never making any flattening of the feature maps, I cannot concatenate the scalar input directly. I have found this which suggest that one could treat the bias as the scalar input of some CNN layer but doing so you are not directly adding any parameters to the scalar input.

Does anyone have any experience with this? All info, papers etc are appreciated!

submitted by /u/donjuan1337
[link] [comments]