注意
发表于 2025-3-28 17:06:07
Dual Consistency Regularization for Semi-supervised Medical Image Segmentation models, aiming to minimize the discrepancy among different model outputs. For task consistency, we promote consistency between the segmentation maps and the pixel-level probability maps transformation from the signed distance maps (SDM), thereby constructing the geometric contours of the target to
Omniscient
发表于 2025-3-28 22:39:29
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annexation
发表于 2025-3-28 23:49:28
Advanced Intelligent Computing Technology and Applications20th International C
Tracheotomy
发表于 2025-3-29 03:07:23
0302-9743applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..978-981-97-5593-6978-981-97-5594-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
pulmonary-edema
发表于 2025-3-29 10:26:27
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sulcus
发表于 2025-3-29 14:37:09
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aplomb
发表于 2025-3-29 16:15:10
https://doi.org/10.1007/b138519mprovement in mAP50 detection accuracy from 68.3% to 79.4%, and an increase in mAP50-95 from 35.1% to 42.4%. These significant performance improvements make our method a more efficient solution for detecting abnormally large fittings in transmission lines.
蜈蚣
发表于 2025-3-29 23:25:14
Grundlagen der Finanzwissenschafton optimization. Additionally, we integrate photometric loss and geometric loss into loss function as geometric consistency loss to achieve geometric constraints. Empirical experiments have showcased the superior performance of Depth-NeuS over existing technologies across various scenarios. Moreover
Scintigraphy
发表于 2025-3-30 03:23:55
Grundlagen der Funktionentheorierk for gait recognition. We propose to extract low-level gait dynamic features by temporal module, then design capsule layers based on human body alignment module to extract high-level gait features, then design harmonization module to reduce overfitting risks by combining global and local gait feat
Occipital-Lobe
发表于 2025-3-30 04:57:08
https://doi.org/10.1007/978-3-322-98481-4nhance edge information in images. The objective is to compel deep neural networks to focus more on semantic information in gait silhouette images and reduce feature deviations induced by adversarial perturbations. The method can significantly improve the adversarial robustness of silhouette-based g