Revisiting Self|Supervised Contrastive Learning for Facial ...

Revisiting Self-Supervised Contrastive Learning for Facial ... - arXiv

In this paper, we revisit the use of self-supervised contrastive learning and explore three core strategies to enforce expression-specific ...

Revisiting Self-Supervised Contrastive Learning for Facial ...

We hereby revisit self-supervised contrastive learning, and argue that there are three main promising solutions for better facial expression-related ...

[PDF] Revisiting Self-Supervised Contrastive Learning for Facial ...

This paper revisits the use of self-supervised contrastive learning and explores three core strategies to enforce expression-specific representations and to ...

ClaudiaShu/SSL-FER: [BMVC 2022] This is the official code ... - GitHub

[BMVC 2022] This is the official code of our Paper "Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition" - ClaudiaShu/SSL-FER.

Revisiting Self-Supervised Contrastive Learning for Facial ...

Request PDF | Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition | The success of most advanced facial expression recognition ...

Revisiting Self-Supervised Contrastive Learning for Facial ... - dblp

Yuxuan Shu, Xiao Gu, Guang-Zhong Yang, Benny Lo: Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition.

arXiv:2211.13490v2 [cs.CV] 8 May 2023

Pose-disentangled Contrastive Learning for Self-supervised Facial. Representation. Yuanyuan Liu1*, Wenbin Wang1∗, Yibing Zhan2, Shaoze Feng1 ...

Self-Supervised Facial Representation Learning with Facial Region ...

Revisiting self-supervised contrastive learning for facial expression recognition. In 33rd British Machine Vision Con- ference 2022, BMVC 2022, London, UK ...

Self-supervised Contrastive Learning of Multi-view Facial Expressions

It remains an open research question on how to design effective SSL tasks, to effectively extract expression-specific information. ... Revisiting Self- ...

Self-supervised Contrastive Learning of Multi-view Facial Expressions

This work proposes Contrastive Learning of Multi-view facial Expressions (CL-MEx) to exploit facial images captured simultaneously from different angles ...

Semi-Supervised Contrastive Learning for Facial Expression ...

In this study, we present a novel unlabeled dataset and semi- supervised contrastive learning framework that utilizes Re- action Mashup (RM) videos, a video ...

Contrastive Learning of View-invariant Representations for Facial ...

ViewFX learns view-invariant features of expression using a proposed self-supervised contrastive loss, which brings together different views of ...

Supervised Contrastive Learning

Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in ...

Weakly-Supervised Text-driven Contrastive Learning for Facial ...

Original paper: https://arxiv.org/abs/2304.00058 Title: Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding ...

SCL-FExR: supervised contrastive learning approach for facial ...

... Revisiting self-supervised visual representation learning. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp 1920–1929

sadimanna/self-supervised-learning-and-contrastive-learning-papers

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations, https://arxiv.org/pdf/2106.05967.pdf. Contrastive Learning with Continuous ...

Self-supervised Contrastive Learning of Multi-view Facial ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Revisiting Contrastive Methods for Unsupervised Learning of Visual ...

Contrastive self-supervised learning has outperformed supervised pretraining on many downstream tasks like segmentation and object detection. However ...

A Simple Framework for Contrastive Learning of Visual ...

Revisiting self-supervised visual representation learning. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 1920–1929 ...

Deep fake Video Face Recognition Using Supervised Contrastive ...

... Revisiting self-supervised contrastive learning for facial expression recognition. arXiv preprint arXiv:2210.03853 (2022); He, M.; Zhang, J.; Shan, S.; Chen ...