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alexnet model  (Baidu Inc)

 
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    Baidu Inc alexnet model
    Performance comparison of different models.
    Alexnet Model, supplied by Baidu Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/alexnet+model/alexnet+model/pmc11724962-96-35-17
    Average 90 stars, based on 1 article reviews
    alexnet model - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Chinese herbal medicine recognition network based on knowledge distillation and cross-attention"

    Article Title: Chinese herbal medicine recognition network based on knowledge distillation and cross-attention

    Journal: Scientific Reports

    doi: 10.1038/s41598-025-85697-6

    Performance comparison of different models.
    Figure Legend Snippet: Performance comparison of different models.

    Techniques Used: Comparison

    Related Articles

    Comparison:

    Article Title: Chinese herbal medicine recognition network based on knowledge distillation and cross-attention
    Article Snippet: In 2020, Huang et al. built a dataset containing five classes of Chinese herbal medicines by crawling Baidu images and, based on this dataset, proposed a Chinese herbal medicine image classification method based on the AlexNet model. Hu et al. drew on the concept of multi-task learning, using neural networks as the foundation and traditional features as a supplement, integrating the two to establish a new deep learning model, and collected 200 classes of Chinese herbal slices for Chinese herbal slice recognition.

    Article Title: Chinese herbal medicine recognition network based on knowledge distillation and cross-attention.
    Article Snippet: In 2020, Huang et al.5 built a dataset containing five classes of Chinese herbal medicines by crawling Baidu images and, based on this dataset, proposed a Chinese herbal medicine image classification method based on the AlexNet model. Hu et al.21 drew on the concept of multi-task learning, using neural networks as the foundation and traditional features as a supplement, integrating the two to establish a new deep learning model, and collected 200 classes of Chinese herbal slices for Chinese herbal slice recognition.



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    Image Search Results


    Performance comparison of different models.

    Journal: Scientific Reports

    Article Title: Chinese herbal medicine recognition network based on knowledge distillation and cross-attention

    doi: 10.1038/s41598-025-85697-6

    Figure Lengend Snippet: Performance comparison of different models.

    Article Snippet: In 2020, Huang et al. built a dataset containing five classes of Chinese herbal medicines by crawling Baidu images and, based on this dataset, proposed a Chinese herbal medicine image classification method based on the AlexNet model. Hu et al. drew on the concept of multi-task learning, using neural networks as the foundation and traditional features as a supplement, integrating the two to establish a new deep learning model, and collected 200 classes of Chinese herbal slices for Chinese herbal slice recognition.

    Techniques: Comparison