We welcome submissions that present developments in performing deep learning on domains that exhibit an irregular spatial topology, mining spatially related feature for a variety of application purposes. Full papers and abstract papers are equally welcome.

Submissions must be made through the CMT (https://cmt3.research.microsoft.com/DLID2017) site, and will undergo a peer-review process.

Submissions should adhere to the proceedings style guide given by the main British Machine Vision Conference 2017 (details can be found under "Typsetting" here).

Papers should be between 3 and 8 pages in length, excluding references and measured from the top of the page.

Papers accepted and presented at the workshop will be published by the BMVA as an online proceeding, in accordance with previous workshops hosted by the BMVA. The proceedings of workshops hosted by the 2015 BMVC can be found here

Invitation to journal special issue

A selection of suitable best papers accepted to the workshop will be invited to submit to a special issue journal publication on the topic.

CMT submission Instructions

  1. Access the workshop's CMT site.
  2. Sign in to the CMT system. If you do not already have an account then you will be required to register with the CMT system.
  3. Navigate to the "Author Console", it should open by default.
  4. Click "Start New Submission" to begin the process. Provide the relevant information and files, including any supplementary material you wish to provide.
  5. Agree to the terms and click "Submit".
  6. You are able to access your submission to edit details and update files at any point before the submission deadline.