Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation

Research article (Applied Sciences, 2021) · cited 44× · AI/ML
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Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation

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Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/driver-fatigue-detection-based-on-residual-channel-attention-network-and-head-pose-estimation
MLA “Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/driver-fatigue-detection-based-on-residual-channel-attention-network-and-head-pose-estimation.
BibTeX @misc{4ortxyz_driver-fatigue-detection-based-on-residual-channel-attention-network-and-head-pose-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/driver-fatigue-detection-based-on-residual-channel-attention-network-and-head-pose-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation — https://4ort.xyz/entity/driver-fatigue-detection-based-on-residual-channel-attention-network-and-head-pose-estimation (retrieved 2026-05-24)

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