债务人 发表于 2025-3-21 19:19:57

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牛马之尿 发表于 2025-3-21 22:10:21

Wenting Zhao,Shigang Wang,Yan Zhao,Jian Wei,Tianshu Li

有节制 发表于 2025-3-22 02:34:48

Deep Discriminative Hashing for Cross-Modal Hashing Based Computer-Aided Diagnosisical multi-modal data into the common hamming space, and performs multi-modal CAD via cross-modal retrieval. Moreover, since the encoding procedure of different modalities is decoupled, DDH can also execute single-modal CAD based on the medical image retrieval. Experimental results demonstrate the s

全等 发表于 2025-3-22 06:24:55

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Repetitions 发表于 2025-3-22 10:56:39

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旧石器 发表于 2025-3-22 14:34:34

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声明 发表于 2025-3-22 17:22:21

A Neural Network Model with the Ringed Residual Block and Attention Mechanism for Image Forgery Locaiments on multiple datasets to verify and compare the proposed method with existing methods. The experimental results show that the method achieved excellent performance on different datasets, demonstrating its effectiveness and robustness.

钢盔 发表于 2025-3-22 23:07:04

ACMA-GAN: Adaptive Cross-Modal Attention for Text-to-Image Generation (2) a feature alignment module, which uses the pre-trained CNN model to improve the feature extraction ability of discriminator. Extensive experiments on CUB-200 and MS-COCO datasets demonstrate that our method is superior to the existing methods.

抚育 发表于 2025-3-23 02:36:17

Registration-Propagated Liver Tumor Segmentation for Non-enhanced CT-Based Interventionsnhanced CT via nonrigid registration. A .ulti-.cale .ridged .patial attention block embedded in the popular “U-shaped” network architecture termed MsBs-Unet is introduced to better accommodate variations of tumor during segmentation. We show that MsBs-Unet uniformly achieves superior performances ag

不遵守 发表于 2025-3-23 05:44:42

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查看完整版本: Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A