Fetching the paper…
Reading the bibliography…
We introduce Temporal consistency for Test-time adaptation (TempT) a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision signal.
Basic emotions
Paul Ekman et al · 1999
Earlier work this paper cites.
3d convolutional neural networks for human action recognition
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification
Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, and Xiangyang Xue · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Revisiting batch normalization for practical domain adaptation
Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, and Xiaodi Hou · 2016
Earlier work this paper cites.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Durk P Kingma · 2016
Earlier work this paper cites.
Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Shan Li, Weihong Deng, and JunPing Du · 2017
Earlier work this paper cites.
Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
Earlier work this paper cites.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Earlier work this paper cites.
Aff-wild: Valence and arousal ‘in-the-wild’challenge
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, and Irene Kotsia · 2017
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
Learning imbalanced datasets with label-distribution-aware margin loss
Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, and Tengyu Ma · 2019
Earlier work this paper cites.
Robust learning with jacobian regularization
Judy Hoffman, Daniel A Roberts, and Sho Yaida · 2019
Cited alongside, same era.
Labeling images with facial emotion and the potential for pediatric healthcare
Haik Kalantarian, Khaled Jedoui, Peter Washington, Qandeel Tariq, Kaiti Dunlap, Jessey Schwartz, and Dennis P Wall · 2019
Cited alongside, same era.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn Schuller, Irene Kotsia, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Vivit: A video vision transformer
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, and Cordelia Schmid · 2021
Later among the works it cites.
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Fahdi Kanavati and Masayuki Tsuneki · 2021
Later among the works it cites.
Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2021
Later among the works it cites.
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
Later among the works it cites.
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Reliable crowdsourcing and deep locality-preserving learning for unconstrained facial expression recognition
Shan Li and Weihong Deng · 2019
Cited alongside, same era.
Reliable crowdsourcing and deep locality-preserving learning for unconstrained facial expression recognition
Shan Li and Weihong Deng · 2019
Cited alongside, same era.
Occlusion aware facial expression recognition using cnn with attention mechanism
Yong Li, Jiabei Zeng, Shiguang Shan, and Xilin Chen · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
Training batchnorm and only batchnorm: On the expressive power of random features in cnns
Jonathan Frankle, David J Schwab, and Ari S Morcos · 2020
Cited alongside, same era.
Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation
Jian Liang, Dapeng Hu, and Jiashi Feng · 2020
Cited alongside, same era.
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, and Matthias Bethge · 2020
Cited alongside, same era.
Analysing affective behavior in the second abaw2 competition
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Later among the works it cites.
Transfer: Learning relation-aware facial expression representations with transformers
Fanglei Xue, Qiangchang Wang, and Guodong Guo · 2021
Later among the works it cites.
Adaptive risk minimization: Learning to adapt to domain shift
Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, and Chelsea Finn · 2021
Later among the works it cites.
Facial expression recognition with deeply-supervised attention network
Yingruo Fan, Victor O.K. Li, and Jacqueline C.K. Lam · 2022
Later among the works it cites.
Note: robust continual test-time adaptation against temporal correlation
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, and Sung-Ju Lee · 2022
Later among the works it cites.
Abaw: Learning from synthetic data & multi-task learning challenges
Dimitrios Kollias · 2022
Later among the works it cites.
Continual test-time domain adaptation
Qin Wang, Olga Fink, Luc Van Gool, and Dengxin Dai · 2022
Later among the works it cites.
Memo: Test time robustness via adaptation and augmentation
Marvin Zhang, Sergey Levine, and Chelsea Finn · 2022
Later among the works it cites.
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, and Stefanos Zafeiriou · 2023
Closest in time.