Spangle 发表于 2025-3-28 16:38:05
https://doi.org/10.1007/978-94-017-1540-9r, most existing drowsiness detection methods do not consider the early stages of drowsiness or the practical feasibility of detection. To address this issue, we propose a gaze behavior pattern-based drowsiness detection model that effectively distinguishes early drowsiness. First, we extract the ga广大 发表于 2025-3-28 19:48:22
http://reply.papertrans.cn/17/1627/162662/162662_42.pngANTIC 发表于 2025-3-29 00:15:55
http://reply.papertrans.cn/17/1627/162662/162662_43.pngConclave 发表于 2025-3-29 04:12:15
http://reply.papertrans.cn/17/1627/162662/162662_44.png清楚 发表于 2025-3-29 08:02:07
http://reply.papertrans.cn/17/1627/162662/162662_45.png进取心 发表于 2025-3-29 14:30:27
Context Enhancement Methodology for Action Recognition in Still Images,prove feature representation. We performed a lot of experiments on the PASCAL VOC 2012 Action dataset and the Stanford 40 Actions dataset. The results demonstrate that our method performs effectively, with the state-of-the-arts outcomes being obtained on both datasets.陪审团每个人 发表于 2025-3-29 17:50:45
http://reply.papertrans.cn/17/1627/162662/162662_47.png现存 发表于 2025-3-29 21:10:47
,Diversified Contrastive Learning For Few-Shot Classification,s of all base class prototypes and conduct class-level contrastive learning between K-way class prototypes obtained from the current task and all base class prototypes. Meanwhile, we dynamically update all stored base class prototypes as the training progresses. We validate our model on mimiImagenetFEAS 发表于 2025-3-30 00:56:44
,Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding,nseen entity type information to the language model; 2) metric referents for predicting target language entity types; 3) a bridge between different languages that mitigates the language gap. Our experiments on several widely-used cross-lingual NER datasets (CoNLL, WikiAnn) in the few-shot setting de不如屎壳郎 发表于 2025-3-30 06:35:57
,FAIR: A Causal Framework for Accurately Inferring Judgments Reversals,’s performance. In addition, we discuss the generalization ability of large language models for legal intelligence tasks using ChatGPT as an example. Our experiment has found that the generalization ability of large language models still has defects, and mining causal relationships can effectively i