GAT-FP: Addressing Imperfect Multimodal Learning using Graph Attention Networks and Feature Propagation

Author:

Doan Nguyen Van1ORCID,Nguyen Trong Duc1ORCID,Nguyen Dat Tran1ORCID,Nguyen Cam-Van Thi1ORCID,Kieu Hai-Dang1ORCID,Le Duc-Trong1ORCID

Affiliation:

1. VNU University of Engineering and Technology, Viet Nam

Publisher

ACM

Reference39 articles.

1. Multimodal and Multi-view Models for Emotion Recognition

2. Tadas Baltrušaitis , Chaitanya Ahuja , and Louis-Philippe Morency . 2018. Multimodal machine learning: A survey and taxonomy . IEEE transactions on pattern analysis and machine intelligence 41, 2 ( 2018 ), 423–443. Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2018. Multimodal machine learning: A survey and taxonomy. IEEE transactions on pattern analysis and machine intelligence 41, 2 (2018), 423–443.

3. Training deep networks for facial expression recognition with crowd-sourced label distribution

4. Shaked Brody , Uri Alon , and Eran Yahav . 2021. How attentive are graph attention networks?arXiv preprint arXiv:2105.14491 ( 2021 ). Shaked Brody, Uri Alon, and Eran Yahav. 2021. How attentive are graph attention networks?arXiv preprint arXiv:2105.14491 (2021).

5. Carlos Busso , Murtaza Bulut , Chi-Chun Lee , Abe Kazemzadeh , Emily Mower , Samuel Kim , Jeannette  N Chang , Sungbok Lee , and Shrikanth  S Narayanan . 2008 . IEMOCAP: Interactive emotional dyadic motion capture database. Language resources and evaluation 42, 4 (2008), 335–359. Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N Chang, Sungbok Lee, and Shrikanth S Narayanan. 2008. IEMOCAP: Interactive emotional dyadic motion capture database. Language resources and evaluation 42, 4 (2008), 335–359.

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