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Cross-dataset test analysis of Mixformer (evaluated by accuracy in %).

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://figshare.com/articles/dataset/Cross-dataset_test_analysis_of_Mixformer_evaluated_by_accuracy_in_/27206396 数据链接链接失效反馈

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资源简介：

Cross-dataset test analysis of Mixformer (evaluated by accuracy in %).

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创建时间：

2024-10-10

相关数据集

Office-31 (Office Dataset)

跨域视觉识别

办公物品图像分类

Office 数据集包含三个域中的 31 个对象类别：Amazon、DSLR 和 Webcam。数据集中的 31 个类别由办公环境中常见的对象组成，例如键盘、文件柜和笔记本电脑。 Amazon 域平均每个类包含 90 张图像，总共包含 2817 张图像。由于这些图像是从在线商家网站捕获的，因此它们是在干净的背景下以统一的比例捕获的。 DSLR域包含498张低噪声高分辨率图像（4288×2848）。

OpenXLab70

Accuracies (%) on Office-31 for black-box model adaptation. The best is in bold. TEN outperforms baselines with up to 7.59% higher accuracy.

跨域视觉识别

黑盒模型自适应

Accuracies (%) on Office-31 for black-box model adaptation. The best is in bold. TEN outperforms baselines with up to 7.59% higher accuracy.

Figshare2025-05-12 更新20

Machine learning algorithm generalization performance for top models produced by Platforms A and B.

模型泛化性能评估

机器学习平台对比

Machine learning algorithm generalization performance for top models produced by Platforms A and B.

Figshare2022-07-29 更新10

Performance of the AI system on the internal test set and external validation cohorts.

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模型泛化性能评估

Performance of the AI system on the internal test set and external validation cohorts.

Figshare2021-06-08 更新30

Datasets of PCMDA

跨域视觉识别

领域适应基准

This dataset comprises three benchmarks: Digits-5, PACS, anf office_caltech_10. Digits-5 is a set of handwritten digit images sampled from five domains: MNIST, MNIST-M, USPS, SynthDigits, an

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