Ancestor 发表于 2025-3-28 17:48:56
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Hermann Suida,Heinrich Salvaterraoop model optimization. Tested on four common PAR benchmark datasets, experimental results show that under the condition that the complexity of the model is unchanged, the mean accuracy is improved by 2% to 5%, compared with the baseline model.十字架 发表于 2025-3-29 06:59:23
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https://doi.org/10.1007/978-4-431-67917-2o solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is sCANON 发表于 2025-3-29 15:01:00
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Basic Design Criteria for Rotary Blood Pumpse proposed feature migration model with image classification as the secondary task can improve the mAP (mean average precision) of the target detection by 5.5%, and the feature migration model with target detection as the secondary task can improve the average accuracy of the image classification byCryptic 发表于 2025-3-29 21:54:56
Parameters, Scales and Geostrophic Balanceaper, which enables the model to obtain an approximate fully supervised performance on point labels. The experiments were compared with the current state-of-the-art (SOTA) point label segmentation methods on the COVID-19-CT-Seg dataset, and our model showed a large improvement: IoU improved by 28.85条街道往前推 发表于 2025-3-30 02:51:05
Concepts and Examples of Rotating Fluidssigned to leverage the predicted distortion as well as its gradient at different scales. Experimental results on two widely used datasets demonstrate the superiority of the proposed methods compared with state-of-the-art methods.helper-T-cells 发表于 2025-3-30 06:40:20
Dynamics of Fronts and Frontal Instabilitycolor space, the watermark is embedded into the DCT domain of U and V channels based on the fact that HVS is more sensitive to brightness changes. Experimental results demonstrate the effectiveness of the proposed work, which improves the fidelity of the model to be protected and has good universali