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Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Social Science Research Network (SSRN), 2021
13 May 2021
Mahdi Pourmirzaei
G. Montazer
Farzaneh Esmaili
CVBM
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Papers citing
"Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation"
7 / 7 papers shown
Design of an Expression Recognition Solution Based on the Global Channel-Spatial Attention Mechanism and Proportional Criterion Fusion
Jun-chen Yu
Yang Zheng
Lei Wang
Yongqi Wang
Shengfan Xu
CVBM
622
0
0
15 Mar 2025
Batch Transformer: Look for Attention in Batch
Myung Beom Her
Jisu Jeong
Hojoon Song
Ji-Hyeong Han
ViT
289
5
0
05 Jul 2024
HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction
Andrey V. Savchenko
303
19
0
18 Mar 2024
GigaPevt: Multimodal Medical Assistant
Pavel Blinov
Konstantin Egorov
Ivan Sviridov
Nikolay Ivanov
S. Botman
Evgeniy Tagin
Stepan Kudin
Galina Zubkova
Andrey Savchenko
167
1
0
26 Feb 2024
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images
Andrey V. Savchenko
CVBM
277
10
0
19 Jul 2022
Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation
Mahdi Pourmirzaei
G. Montazer
Ebrahim A. Mousavi
CVBM
90
3
0
21 Nov 2021
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
Mahdi Pourmirzaei
Farzaneh Esmaili
G. Montazer
Sasan Karamizadeh
Seyedehsamaneh Shojaeilangari
365
1
0
10 Aug 2021
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