Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion

16 references·2 citing·47 second hop

FromToDepth

this work references cited by second hop

References

2011Multimodal Emotion Recognition in Response to Videos723 cited
2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
2018Driver Fatigue Detection Systems: A Review557 cited
2011Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space450 cited
2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State328 cited
2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
2014YawDD294 cited
2006A probabilistic framework for modeling and real-time monitoring human fatigue245 cited
2019A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection218 cited
2020Deep CNN models-based ensemble approach to driver drowsiness detection213 cited
2014Drowsy driver detection using representation learning202 cited
2021Driver stress detection via multimodal fusion using attention-based CNN-LSTM199 cited
2020Real Time Driver Fatigue Detection System Based on Multi-Task ConNN180 cited
2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
2017Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques

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

162 cited

2016Yawning Detection Using Embedded Smart Cameras138 cited

Cited by

2023Multimodal driver distraction detection using dual-channel network of CNN and Transformer60 cited
2024A Survey on Drowsiness Detection: Modern Applications and Methods51 cited