Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

The Extensive Usage of the Facial Image Threshing Machine for Facial Emotion Recognition Performance

6 references·5 citing·38 second hop

FromToDepth

this work references cited by second hop

References

2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
2020Deep Facial Expression Recognition: A Survey1,942 cited
2017Self-report captures 27 distinct categories of emotion bridged by continuous gradients894 cited
2019Efficient Facial Expression Recognition Algorithm Based on Hierarchical Deep Neural Network Structure303 cited
2013Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"234 cited
2020The Facial Emotion Recognition (FER-2013) Dataset for Prediction System of Micro-Expressions Face Using the Convolutional Neural Network (CNN) Algorithm based Raspberry Pi191 cited

Cited by

2023New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review71 cited
2023Role of Zoning in Facial Expression Using Deep Learning59 cited
2023Hybrid Facial Emotion Recognition Using CNN-Based Features47 cited
2022Efficient-SwishNet Based System for Facial Emotion Recognition45 cited
2021Leaderboard Positions and Stress—Experimental Investigations into an Element of Gamification33 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work