深度学习模型涨点必备的112个注意力机制

注意力机制已经成了模型设计的基础架构，现在模型里没个Attention都不好意思发出来。

从注意力机制发布到今天，学术界一直在对Attention进行各种魔改。魔改后的Attention能够提升模型的表达能力、增强跨模态能力和可解释性，以及优化模型大小与效率。

最重要的一点，很多注意力模块都是即插即用的。我们可以在自己的模型里用学术大牛的注意力模块，这样再做实验写论文绝对是事半功倍了。

近期，包括缩放点积注意力、多头注意力、交叉注意力、空间注意力、通道注意力等在内的11种主流注意力机制都有许多创新研究。今天分享112个11种主流注意力机制的创新研究。最新的创新思路非常适合大家用在实验中！

112个11种主流注意力机制的创新研究，paper和代码都帮大家下载整理好了。欢迎扫码领取。

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