Showing 2,461 - 2,480 results of 7,164 for search 'NET information', query time: 0.15s Refine Results
  1. 2461

    A lightweight Deeplab V3+ network integrating deep transitive transfer learning and attention mechanism for burned area identification by Lizhi Liu, Ying Guo, Erxue Chen, Zengyuan Li, Yu Li, Yang Liu, Qiang Zhang, Bing Wang

    Published 2025-05-01
    “…For the process of DTTL, the improved Deeplab V3 + network was first pre-trained on ImageNet. Sequentially, WorldView-2 and the Sentinel-2 dataset were employed to train the proposed network based on the ImageNet pre-trained weights. …”
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  2. 2462
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    Reconstructing Ötzi’s shoes by Eva IJsveld

    Published 2023-06-01
    “…For making the shoes I used a flint knife, for both shoes I mostly used one knife. The net is made by hand so not many tools were needed to reconstruct the shoes. …”
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  4. 2464
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    DEFENDIFY: defense amplified with transfer learning for obfuscated malware framework by Rodrigo Castillo Camargo, Juan Murcia Nieto, Nicolás Rojas, Daniel Díaz-López, Santiago Alférez, Angel Luis Perales Gómez, Pantaleone Nespoli, Félix Gómez Mármol, Umit Karabiyik

    Published 2025-04-01
    “…The proposed framework was configured to test four Convolutional Neural Network architectures: ResNet18, ResNet34, EfficientNetB3, and EfficientNetV2S. …”
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  6. 2466

    An Efficient Method for Counting Large-Scale Plantings of Transplanted Crops in UAV Remote Sensing Images by Huihua Wang, Yuhang Zhang, Zhengfang Li, Mofei Li, Haiwen Wu, Youdong Jia, Jiankun Yang, Shun Bi

    Published 2025-02-01
    “…To address the aforementioned challenges, this paper first proposes an effective framework for farmland segmentation, named MED-Net, based on DeepLabV3+, integrating MobileNetV2 and Efficient Channel Attention Net (ECA-Net), enabling precise plot segmentation. …”
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  7. 2467

    Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis by Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li

    Published 2025-01-01
    “…We introduced a network-based transfer (NBT) of pan-cancer immunotherapy responses to enhance breast cancer prognosis using node embedding and heat diffusion algorithms, identifying gene signatures netNE and netHD. Our results showed that netHD and netNE outperformed seven established breast cancer signatures in prognostic metrics, with netHD excelling. …”
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  8. 2468

    Understanding Point Clouds of Electrical Substations Using a Multi-View Multi-Scale Fusion With Transformer by Xinghua Wang, Yanxi Meng, Hantuo Dong, Tao Jia

    Published 2025-01-01
    “…Our model shows a better performance than the state-of-the-art methods, and it achieves an overall accuracy of 91.15% on our dataset, 93.30% on ModelNet40, and 92.80% on ModelNet40-C, indicating its effectiveness and robustness.…”
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    A facial expression recognition network using hybrid feature extraction. by Dandan Song, Chao Liu

    Published 2025-01-01
    “…In response to this issue, this article proposes a facial expression recognition network called HFE-Net. In order to capture the subtle changes of expression features and the whole facial expression information at the same time, HFE-Net proposed a Hybrid Feature Extraction Block. …”
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  13. 2473

    Research on adversarial examples defense method based on multi-modal feature fusion by WEI Xuanxuan, LIU Wanping, LU Ling

    Published 2025-04-01
    “…Initially, ViT-GPT2 was utilized to generate corresponding textual descriptions based on image information, while a feature pyramid network captured multi-scale information. …”
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    Multi-axis compression fusion network for vehicle re-identification by Tengda Ma, Ke Sun, Xiyu Pang, Wei Si, Tongxin Liu, Cheng Wang

    Published 2025-08-01
    “…Experiments show that MCF-Net achieves state-of-the-art performance on the vehicle Re-ID datasets VeRi-776 and VehicleID.…”
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    A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

    Published 2025-08-01
    “…To address this issue, this paper proposes a Rotation Target Detection Network based on Multi-kernel Interaction and Hierarchical Expansion (MIHE-Net) as a systematic solution. Specifically, we first refine scale modeling through the Multi-kernel Context Interaction (MCI) module and Hierarchical Expansion Attention (HEA) mechanism, achieving sufficient extraction of local features and global information for targets of different scales. …”
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