Are Semi-Dense Detector-Free Methods Good at Matching Local Features?

13 February 2024

Papers citing "Are Semi-Dense Detector-Free Methods Good at Matching Local Features?"

5 / 5 papers shown

Title
DKM: Dense Kernelized Feature Matching for Geometry Estimation Johan Edstedt Ioannis Athanasiadis Mårten Wadenbäck M. Felsberg 3DV MDE 27 114 0 01 Feb 2022
QuadTree Attention for Vision Transformers Shitao Tang Jiahui Zhang Siyu Zhu Ping Tan ViT 148 154 0 08 Jan 2022
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Learning Accurate Dense Correspondences and When to Trust Them Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 3DH 3DPC 64 125 0 05 Jan 2021
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016