Lune

CVPR2023顶会

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu

2023年份
7顶会引用

摘要

Deep Space Exploration Lab, 3 China Academy of Space Technology (a)Reference (b)Linear Attention (e)Matching Result (d)Ours (c)Vanilla Attention Figure 1. The visualization of the cross attention heatmaps and matching results. We sample two similar adjacent points in the reference image (a), marked with green and red. (b) are two heatmaps of the linear cross attention in LoFTR [50] when green and red pixels are queries. (c) are two heatmaps obtained from the vanilla cross attention. (d) are two heatmaps generated by our spot-guided attention. (e) are the comparison of the final matching results produced by LoFTR [50] (top) and our method (down).

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 Paper7

问问它们各自怎么用它

它引用的顶会 Paper19

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖