EmbodiedAI
/
Embodied-AI-Guide
mirror of https://github.com/TianxingChen/Embodied-AI-Guide.git
3
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
csyufei 2025-01-11 13:13:36 +08:00 committed by GitHub
parent 0a5710d5ab
commit 0564cf4278
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -195,11 +195,11 @@ CS231n (斯坦福计算机视觉课程): [website](https://cs231n.stanford.edu/s
* ViT (第一个将Transformer用在视觉领域): [bilibili](https://www.bilibili.com/video/BV15P4y137jb/?spm_id_from=333.1387.collection.video_card.click&vd_source=930ef08bfb2ff0db87ec20bf72a99855)
* Swin Transformer (披着Transformer皮的CNN): [bilibili](https://www.bilibili.com/video/BV13L4y1475U/?spm_id_from=333.1387.collection.video_card.click&vd_source=930ef08bfb2ff0db87ec20bf72a99855)
* 对比学习论文综述: [bilibili](https://www.bilibili.com/video/BV19S4y1M7hm/?spm_id_from=333.1387.collection.video_card.click&vd_source=930ef08bfb2ff0db87ec20bf72a99855)
* 以判别式AI为主的感知任务，比如识别、分类、分割、检测等等，看看即可，现在继续刷点意义不大
* 生成式AI
* 以判别式模型为主的感知任务，比如识别、分类、分割、检测等等，看看即可，现在继续刷点意义不大
* 生成式模型
* 自回归综述: [PDF](https://arxiv.org/pdf/2411.05902)
* 扩散模型综述: [PDF](https://arxiv.org/pdf/2209.00796)
* 如果对扩散模型的理论推导感兴趣，可以看苏剑林老师的博客 - 生成扩散模型漫谈: [link](https://kexue.fm/archives/9119)
* 如果对扩散模型的理论推导感兴趣，可以看苏剑林老师的博客 - 生成扩散模型漫谈(推导非常清楚): [link](https://kexue.fm/archives/9119)
<section id="3dv"></section>