Papers citing 'Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation'

Title
How Robust is Unsupervised Representation Learning to Distribution Shift?International Conference on Learning Representations (ICLR), 2022 Yuge Shi Imant Daunhawer Julia E. Vogt Juil Sock Amartya Sanyal OOD 310 30 0 17 Jun 2022
Improving Multi-Task Generalization via Regularizing Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2022 Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Luke Huan Ed H. Chi OOD LRM 246 37 0 19 May 2022
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning Enrique Sanchez Adrian Bulat Anestis Zaganidis Georgios Tzimiropoulos CVBM 202 3 0 03 Nov 2020
Pyramid Feature Attention Network for Saliency detectionComputer Vision and Pattern Recognition (CVPR), 2019 Ting Zhao Xiangqian Wu 185 661 0 01 Mar 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 545 2,901 0 29 Nov 2018
Joint Action Unit localisation and intensity estimation through heatmap regression Enrique Sánchez-Lozano Georgios Tzimiropoulos Michel Valstar 194 51 0 09 May 2018
mixup: Beyond Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2017 Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 574 10,965 0 25 Oct 2017
Deep Structured Learning for Facial Action Unit Intensity Estimation R. Walecki Ognjen Rudovic Rudovic Vladimir Pavlovic Björn Schuller Maja Pantic CVBM 115 128 0 14 Apr 2017
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding Dieu Linh Tran R. Walecki Ognjen Rudovic Stefanos Eleftheriadis Bjørn Schuller Maja Pantic 139 54 0 07 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.5K 214,123 0 10 Dec 2015
Semi-Supervised Learning with Ladder NetworksNeural Information Processing Systems (NeurIPS), 2015 Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 308 1,408 0 09 Jul 2015