Best paper award at #CVPR2018 main idea: study twenty five different visual tasks to understand how & when transfer learning works from one task to another, reducing demand for labelled data.

Video: https://youtu.be/SUq1CiX-KzM
Project website: http://taskonomy.stanford.edu
Arxiv: https://arxiv.org/pdf/1804.08328.pdf

Another #CVPR2018 paper award: Global Pose Estimation with Attention-based RNNs.

Arxiv: https://arxiv.org/abs/1802.06857

#pose #rnn #dl

Translating music to predict a musician’s body movements

Long story short: animating personalized avatar with the help of neural networks.

https://research.fb.com/translating-music-to-predict-a-musicians-body-movements/

#lstm #cvpr2018 #facebook

Dynamic few-shot visual learning without forgetting by Gidaris and Komodakis

The authors share even configs and learning rate schedules for experiments in paper.

Github: https://github.com/gidariss/FewShotWithoutForgetting

#cvpr2018