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Multi-Task Learning (MTL) is a framework, where multiple related tasks are learned jointly and benefit from a shared representation space, or parameter transfer.
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Kollias, D.; and Zafeiriou, S. 2019 · 1910
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Aff-wild: Valence and arousal ‘in-the-wild’challenge
Zafeiriou, S.; Kollias, D.; Nicolaou, M. A.; Papaioannou, A.; Zhao, G.; and Kotsia, I. 2017 · 1987
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What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS)
Ekman, R. 1997 · 1997
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The Caltech-UCSD Birds-200-2011 Dataset
Wah, C.; Branson, S.; Welinder, P.; Perona, P.; and Belongie, S. 2011 · 2011
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Describing clothing by semantic attributes
Chen, H.; Gallagher, A.; and Girod, B. 2012 · 2012
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Whittlesearch: Image search with relative attribute feedback
Kovashka, A.; Parikh, D.; and Grauman, K. 2012 · 2012
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Compound facial expressions of emotion
Du, S.; Tao, Y.; and Martinez, A. M. 2014 · 2014
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Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; and Dean, J. 2015 · 2015
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Do deep neural networks learn facial action units when doing expression recognition?
Khorrami, P.; Paine, T.; and Huang, T. 2015 · 2015
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Deep Learning Face Attributes in the Wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
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Holistic 3d scene understanding from a single geo-tagged image
Wang, S.; Fidler, S.; and Urtasun, R. 2015 · 2015
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EmotioNet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
Benitez-Quiroz, C.; Srinivasan, R.; and Martinez, A. 2016 · 2016
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Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
Fabian Benitez-Quiroz, C.; Srinivasan, R.; and Martinez, A. M. 2016 · 2016
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Multiple facial action unit recognition enhanced by facial expressions
Yang, J.; Wu, S.; Wang, S.; and Ji, Q. 2016 · 2016
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Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
Kokkinos, I. 2017 · 2017
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Recognition of affect in the wild using deep neural networks
Kollias, D.; Nicolaou, M. A.; Kotsia, I.; Zhao, G.; and Zafeiriou, S. 2017 · 2017
Cited alongside, same era.
Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Li, S.; Deng, W.; and Du, J. 2017 · 2017
Cited alongside, same era.
Affectnet: A database for facial expression, valence, and arousal computing in the wild
Mollahosseini, A.; Hasani, B.; and Mahoor, M. H. 2017 · 2017
Cited alongside, same era.
An all-in-one convolutional neural network for face analysis
Ranjan, R.; Sankaranarayanan, S.; Castillo, C. D.; and Chellappa, R. 2017 · 2017
Cited alongside, same era.
Expression-assisted facial action unit recognition under incomplete AU annotation
Wang, S.; Gan, Q.; and Ji, Q. 2017 · 2017
Cited alongside, same era.
Understanding and Improving Information Transfer in Multi-Task Learning
Wu, S.; Zhang, H. R.; and Ré, C. 2019 · 2019
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Multitask emotion recognition with incomplete labels
Deng, D.; Chen, Z.; and Shi, B. E. 2020 · 2020
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Retinaface: Single-shot multi-level face localisation in the wild
Deng, J.; Guo, J.; Ververas, E.; Kotsia, I.; and Zafeiriou, S. 2020 · 2020
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Analysing affective behavior in the first abaw 2020 competition
Kollias, D.; Schulc, A.; Hajiyev, E.; and Zafeiriou, S. 2020b · 2020
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Adashare: Learning what to share for efficient deep multi-task learning
Sun, X.; Panda, R.; Feris, R.; and Saenko, K. 2020 · 2020
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Pyramid with super resolution for in-the-wild facial expression recognition
Vo, T.-H.; Lee, G.-S.; Yang, H.-J.; and Kim, S.-H. 2020 · 2020
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Multi-task deep neural network for joint face recognition and facial attribute prediction
Wang, Z.; He, K.; Fu, Y.; Feng, R.; Jiang, Y.-G.; and Xue, X. 2017 · 2017
Cited alongside, same era.
Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Chen, Z.; Badrinarayanan, V.; Lee, C.-Y.; and Rabinovich, A. 2018 · 2018
Cited alongside, same era.
Multi-task learning as multi-objective optimization
Sener, O.; and Koltun, V. 2018 · 2018
Cited alongside, same era.
Learning to navigate for fine-grained classification
Yang, Z.; Luo, T.; Wang, D.; Hu, Z.; Gao, J.; and Wang, L. 2018 · 2018
Cited alongside, same era.
Taskonomy: Disentangling task transfer learning
Zamir, A. R.; Sax, A.; Shen, W.; Guibas, L. J.; Malik, J.; and Savarese, S. 2018 · 2018
Cited alongside, same era.
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Kollias, D.; Tzirakis, P.; Nicolaou, M. A.; Papaioannou, A.; Zhao, G.; Schuller, B.; Kotsia, I.; and Zafeiriou, S. 2019 · 2019
Cited alongside, same era.
Pareto Multi-Task Learning
Lin, X.; Zhen, H.-L.; Li, Z.; Zhang, Q.; and Kwong, S. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Gradient Surgery for Multi-Task Learning
Yu, T.; Kumar, S.; Gupta, A.; Levine, S.; Hausman, K.; and Finn, C. 2020 · 2020
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Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Savchenko, A. V. 2021 · 2021
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Jeong, J.-Y.; Hong, Y.-G.; Oh, J.; Hong, S.; Jeong, J.-W.; and Jung, Y. 2022 · 2022
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Mixaugment & mixup: Augmentation methods for facial expression recognition
Psaroudakis, A.; and Kollias, D. 2022 · 2022
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In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study
Ryumina, E.; Dresvyanskiy, D.; and Karpov, A. 2022 · 2022
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Savchenko, A. V. 2022 · 2022
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Transformer-based Multimodal Information Fusion for Facial Expression Analysis
Zhang, W.; Qiu, F.; Wang, S.; Zeng, H.; Zhang, Z.; An, R.; Ma, B.; and Ding, Y. 2022 · 2022
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Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Kollias, D.; Tzirakis, P.; Baird, A.; Cowen, A.; and Zafeiriou, S. 2023 · 2023
Later among the works it cites.