标题:FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos 作者:Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, and Wenqiang Zhang (Fudan University) 发表:CVPR 2022 文章地址:https://arxiv.org/pdf/2203.09463.pdf 代码地...
MSpecFace: A Dataset for Facial Recognition in the Visible, Ultra Violet and Infrared SpectraThis paper describes the acquisition process and content of a multispectral face database, which can be used to research on face recognition methods dealing with two of the most challenging problems in ...
Facial Recognition Enabled Smart Door Using Microsoft Face API .[J] arXiv preprint arXiv:1706.00498. M. Y. Shams, A. S. Tolba, S.H. Sarhan .A Vision System for Multi-View Face Recognition .[J] arXiv preprint arXiv:1706.00510. Chris Larson, Josef Spjut, Ross Knepper, Robert Shepherd ...
IMDb-Face is large-scale noise-controlled dataset for face recognition research. The dataset contains about 1.7 million faces, 59k identities, which is manually cleaned from 2.0 million raw images. All images are obtained from the IMDb website. ...
Video classification, face recognition 2011 [12][13] L. Wolf et al. 300 videos in-the-Wild 114 videos annotated for facial landmark tracking. The 68 landmark mark-up is applied to every frame. None 114 videos, 218,000 frames. Video, annotation file. Facial landmark tracking. 2015 [14...
In addition, the upgrade of face recognition gates, facial attendance machines, and facial security checks at train stations is adapted to the application environment of pedestrian wearing masks. Sponsor: National Engineering Research Center for Multimedia Software (NERCMS), School of Computer Science,...
availability of SZU-EmoDage opens up avenues for further research in psychology and related fields, allowing for a deeper understanding of facial perception. Methods Participants Procedure The workflows of editing the facial expression. Full size image...
How do we measure and ensure diversity for human faces? On one hand, we are familiar with how faces differ by age, gender, and skin tone, and how different faces can vary across some of these dimensions. Much of the focus on facial recognition technology has been on how well it performs...
不仅仅是颜色失真,其他类型的数据转换也是如此。一般来说,对比训练对数据的系统偏差较为敏感。在机器学习中,数据偏差是一个广泛存在的问题(见facial recognition for women and minorities),这对对比方法来说影响更大。不过好在BYOL不依赖负采样,从而很好的避免了该问题。
大家好,今天和大家分享的论文是发表在MM2020的《MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos》。这篇论文定义了一个新的名为Multimodal Emotion Reasoning的任务,提出了一个帮助解决这一问题的数据集MEmoR,再针对这个任务提出了一个基于注意力机制的模型AMER。 1. Motivation 该文认为,让人工智能系统...