Kubernetes Handson実践サーãƒã‚™ãƒ¼ãƒ¬ã‚¹ãƒã‚šãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚¯ã‚™ ~ãã®å®ŸåŠ›ã«è¿«ã‚‹~ / Practical Serverless Performance Tuning ~A Close Look at its Power~
https://www.slideshare.net/DeepLearningJP2016/dlneural-ordinary-differential-equations
This document summarizes recent research on applying self-attention mechanisms from Transformers to domains other than language, such as computer vision. It discusses models that use self-attention for images, including ViT, DeiT, and T2T, which apply Transformers to divided image patches. It also covers more general attention modules like the Perceiver that aims to be domain-agnostic. Finally, it
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