Distribution 发表于 2025-3-25 05:07:18
Idoia Cortes Garcia use of the BERT [.] model that has been pre-trained to provide rich initialization parameters for our model. Second, in order to achieve entity-centered relationship extraction, we propose a BERT [.] and multifaceted semantic relationship extraction model based on BERT [.] with multifaceted semantitendinitis 发表于 2025-3-25 09:00:21
Idoia Cortes Garcia of other popular methods, such as traditional Mask-RCNN, RetinaNet, Swin Double head RCNN, and Cascade Swin-RCNN, in terms of recognition accuracy and training speed. Moreover, this paper also designs a second experiment and proved that the proposed model can accurately detect road surface areas wh羽毛长成 发表于 2025-3-25 14:13:32
Idoia Cortes Garcias the student to directly master the feature aggregation rules from teacher GNNs. Meanwhile, we propose a Selective Attribution Transfer (SAT) module that identifies task-relevant topological substructures to assist the capacity-limited student in mitigating noise and enhancing performance. ExtensivNICHE 发表于 2025-3-25 19:25:49
Idoia Cortes Garciae develop a structural re-parameterization technique for multi-scale 1-D convolutions to boost the inference speed. Extensive experiments in classification and object detection verify the superiority of our proposed method over other state-of-the-art counterparts. This factorizing-and-combining mech鞭子 发表于 2025-3-25 22:27:51
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https://doi.org/10.1007/978-3-030-63273-1Nonlinear Circuit Models; Simulation of Superconducting Magnets; Differential Algebraic Equations(DAEs