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DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition [article]

Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
2019 arXiv   pre-print
We introduce a novel Distillation Multiple Choice Learning framework for multimodal data, where different modality networks learn in a cooperative setting from scratch, strengthening one another.  ...  We evaluate this approach on three video action recognition benchmark datasets. We obtain state-of-the-art results in comparison to other approaches that work with missing modalities at test time.  ...  petitive to or state-of-the-art results compared to the privileged information literature, and significantly higher accuracy compared to independently trained modality networks for human action recognition  ... 
arXiv:1912.10982v1 fatcat:aplmcrqnufai7mjrf4rgqzcw2u

Learning with Privileged Information using Multimodal Data [article]

NUNO RICARDO DA CRUZ GARCIA
2020
To my favorite person in the world, Patrícia, for the unique care, understanding and closeness. To Vanessa, for all the love, patience, and support.  ...  Sclaroff, "DMCL: Distillation Multiple Choice Learning", under revision, 2019.  ...  Distillation Multiple Choice Learning (DMCL) allows multiple modalities to cooperate and strengthen one another.  ... 
doi:10.15167/da-cruz-garcia-nuno-ricardo_phd2020-02-28 fatcat:gndajfrfxnbplle6kqhdnl67yi