[ContinualAI Reading Group] Towards Continual, Online, Unsupervised Depth

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Keiland Cooper

Apr 15, 2021, 2:56:50 AM4/15/21
to Continual Learning & AI News
Hi All,

This Friday 16-04-2021, 5.30pm CEST, for the ContinualAI Reading Group, Muhammad Umar Karim Khan (Korea Advanced Institute of Science and Technology (KAIST)) will present the paper:

Abstract: Although depth extraction with passive sensors has seen remarkable improvement with deep learning, these approaches may fail to obtain correct depth if they are exposed to environments not observed during training. Online adaptation, where the neural network trains while deployed, with unsupervised learning provides a convenient solution. However, online adaptation causes a neural network to forget the past. Thus, past training is wasted and the network is not able to provide good results if it observes past scenes. This work deals with practical online-adaptation where the input is online and temporally-correlated, and training is completely unsupervised. Regularization and replay-based methods without task boundaries are proposed to avoid catastrophic forgetting while adapting to online data. Experiments are performed on different datasets with both structure-from-motion and stereo. Results of forgetting as well as adaptation are provided, which are superior to recent methods. The proposed approach is more inline with the artificial general intelligence paradigm as the neural network learns the scene where it is deployed without any supervision (target labels and tasks) and without forgetting about the past.  

The event will be moderated by: Vincenzo Lomonaco

- Eventbrite event (to save it in you calendar and get reminders): Click Here 
- Microsoft Teams: click here to join 
- YouTube recordings of the previous sessions: https://www.youtube.com/c/ContinualAI

Feel free to share this email to anyone interested and invite them to subscribe this mailing-list here: https://groups.google.com/g/continualai 

Please also contact me if you want to speak at one of the next sessions!

Looking forward to seeing you all there!

All the best,
Keiland Cooper

University of California
ContinualAI Co-founding Board Member
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