枫树
发表于 2025-3-23 11:35:38
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Axon895
发表于 2025-3-23 15:46:20
Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networ in hopes of preventing an accident. This paper proposes a deep architecture referred to as deep drowsiness detection (DDD) network for learning effective features and detecting drowsiness given a RGB input video of a driver. The DDD network consists of three deep networks for attaining global robu
NOMAD
发表于 2025-3-23 18:43:53
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聚集
发表于 2025-3-24 01:40:20
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辫子带来帮助
发表于 2025-3-24 05:03:55
3D Pose Estimation of a Front-Pointing Hand Using a Random Regression Forestom a distance. Our method uses a Random Regression Forest (RRF) to realize robust estimation against environmental and individual variations. In order to improve the estimation accuracy, our method supports the use of two cameras and integrates the distributions of the hand poses for these cameras,
调色板
发表于 2025-3-24 07:45:45
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adumbrate
发表于 2025-3-24 11:00:26
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flammable
发表于 2025-3-24 17:14:41
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制造
发表于 2025-3-24 20:30:23
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乳白光
发表于 2025-3-25 01:38:13
Development of the Female Perineum,of the three networks are integrated and fed to a softmax classifier for drowsiness detection. Experimental results show that DDD achieves . detection accuracy on NTHU-drowsy driver detection benchmark dataset.