ML: continuous vs. discrete (EA, RL)
Why special continuity in ML? stronger continuity.
Liptz continuity
Reference:?
详细解析深度学习中的 Lipschitz 条件 - 知乎 (zhihu.com)
Lipschitz continuity is useful in Deep learning, GAN, etc.
详细解析深度学习中的 Lipschitz 条件 - 知乎 (zhihu.com)
Hugarian algoirthm vs,. Sikhorn (in SuperGlue) for matching (reference: paper from SuperGlue and CSD??)
Hugarian is not differentiable, Sikhorn is differentiable (yes, no?)
(8 条消息) 如何理解深度图匹配算法CIE-H？ - 知乎 (zhihu.com)
视觉SLAM总结——SuperPoint / SuperGlue_Leo-Peng的博客-CSDN博客_superpoint