Lune

CVPR2025顶会

RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges

Thibaut Loiseau, Guillaume Bourmaud

2025年份
1顶会引用

摘要

Figure 1 . We introduce RUBIKa benchmark based on the images from nuScenes for fine grain evaluation of camera pose estimation methods. RUBIK is made of image pairs spanning three difficulty criteria, in terms of scene overlap, scale ratio, and difference of viewpoint angles. It contains 16.5K image pairs across 33 difficulty levels. We use it to provide a comprehensive benchmarking of 14 methods.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper1

问问它们各自怎么用它

它引用的顶会 Paper21

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖