Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe阅读笔记 - 代码天地

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe阅读笔记

企业开发 2023-10-03 05:29:13 阅读次数: 0

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转载自blog.csdn.net/qq_39942341/article/details/131628570

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe阅读笔记

# Computational Optimal Transport笔记——Introduction

Computational Optimal Transport笔记之Abstract

Frank-Wolfe方法

最优传输传记（optimal transport）——前序

pot lib：optimal transport python库

图像分割slic和 optimal transport 匹配

An Intuitive Guide to Optimal Transport|最优传输理论

论文解读OTA: Optimal Transport Assignment for Object Detection

Python 最优传输工具箱（Python Optimal Transport）

基于Iterative Closest Point和Optimal Transport Theory的鲁棒V2V协同感知（3D目标检测）

faster rcnn源码阅读笔记1

Sinkhorn算法

Faster RCNN（1）论文阅读

实验和代码：Grayscale Template-Matching Invariant to Rotation, Scale, Translation, Brightness and Contrast

hist seg, find peaks, tps, pava单调拟合, isotonic-regression,REGULARIZED DISCRETE OPTIMAL TRANSPORT

ACL2022 Document-Level Event Argument Extraction via Optimal Transport

A - Translation

translation

笔记-Cats Transport

FASTER RCNN阅读笔记

约束优化方法_2_——Frank-Wolfe方法

论文阅读：《Neural Machine Translation by Jointly learning to Align and Translation》

Unsupervised Translation of Programming Languages阅读笔记

Sinkhorn-Knopp算法

D1. Optimal Subsequences (Easy难度到hard难度)

3D Segmentation with Exponential LogarithmicLoss for Highly Unbalanced Object Sizes-MICCAI2018【论文理解】

论文阅读笔记：Faster RCNN

present or future: optimal pricing for spot instances文章阅读笔记

React Navigation源代码阅读 : utils/invariant.js

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