Conscientious
发表于 2025-3-30 11:23:03
Prompt-Based Event Temporal Relation Extraction with Contrastive Learningirs of events within a sentence. Existing models for extracting temporal relations treat it as a supervised classification task with Generative Pre-trained Transformer (GPT). However, due to the complexity of annotation, most models face the challenge of insufficient labeled data. Furthermore, the c
言行自由
发表于 2025-3-30 14:14:27
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Mhc-Molecule
发表于 2025-3-30 17:05:58
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Assemble
发表于 2025-3-30 22:09:04
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EXULT
发表于 2025-3-31 01:26:44
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CESS
发表于 2025-3-31 07:54:07
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Contend
发表于 2025-3-31 09:47:42
Multi-label Classification for Concrete Defects Based on EfficientNetV2Spatial Pyramid Pooling Fast (SPPF), to extract defect-representative features from concrete defect images based on EfficientNetV2. Among them, SCARM contributes to assisting the network focus on crucial features and suppressing unnecessary ones and SPPF used to aggregate multi-scale features to add
relieve
发表于 2025-3-31 14:24:10
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宣称
发表于 2025-3-31 19:23:07
Designing Real-Time Neural Networks by Efficient Neural Architecture Searchch efficiency and achieves a success rate of approximately 99.2% in meeting time constraints, outperforming other methods. Our experiments also show that CNNs designed by RetNAS surpass the accuracy of manually designed CNNs and visual transformers by 0.4% to 5%.
Spina-Bifida
发表于 2025-4-1 00:53:29
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