"Patches are all you need?" 正文只有四页长，但是非常简洁优雅。读完，无论是模型设计实验结果还是理...
金秋十月,又到了ICLR截稿的季节! 一篇「Patches are all you need」横空出世。 堪称ICLR 2022的爆款论文,从国外一路火到国内。 知乎热搜 这篇标题里不仅有「划掉」还有「表情」的论文,正文只有4页! https://openreview.net/pdf?id=TVHS5Y4dNvM 此外,作者还特地在文末写了个100多字的小论文表示:「期待更多内...
[AI达人特训营]Patches Are All You Need?论文复现 摘要 1. ConvMixer 1.1 总体架构 1.2 ConvMixer Layer 2. 代码复现 2.1 下载并导入所需的库 2.2 创建数据集 2.3 模型的创建 2.4 训练 2.5 结果分析 总结 BML Codelab基于JupyterLab 全新架构升级,支持亮暗主题切换和丰富的AI工具,详见使用说明文档。 [AI达...
[AI达人特训营]Patches Are All You Need?论文复现 快速实现AI想法 学AI就上AI Studio,提供在线编程环境免费GPU算力摘要 尽管卷积网络多年来一直是视觉任务的主导架构,但最近的实验表明,基于Transformer的模型,尤其是视觉Transformer(ViT),可能在某些设置下超过它们的性能。然而,由于变形金刚中自我注意层的二次运行时间...
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis Deep learning models have revolutionized the field of medical image analysis, due to their outstanding performances. However, they are sensitive to spuriou... DJ Araújo,MR Verdelho,A Bissoto,... -...
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Patches are all you need? ConvMixer: 计算机视觉领域近来风向刚从Convolutions到转到了Attention,然后MLP-Mixer告诉大家我MLP也能行,差点完成了一个循环,真可谓跌宕起伏、惊喜连连。所以作者就想到了一个问题:Vision Transformer强大性能表现仅仅是因为Transformer强悍的架构吗?要知道MLP-Mixer证明了简单的MLP架构也表现不...