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Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships
Word embedding techniques depend heavily on the frequencies of words in the corpus, and are negatively impacted by failures in providing reliable representations for low-frequency words or unseen words during training.
Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
Our experimental results in multiple metrics proved that our framework captured some typical, micro and dynamic facial features along spatiotemporal dimensions, contributing to the mild fatigue detection in the wild.
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