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ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement

ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement

25 September 2022
Donglin Tan
Jiangjiang Liu
Xingyu Chen
Chao Chen
Ruixin Zhang
Yunhang Shen
Shouhong Ding
Rongrong Ji
ArXivPDFHTML

Papers citing "ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement"

5 / 5 papers shown
Title
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
Dongki Jung
Jaehoon Choi
Yonghan Lee
Somi Jeong
T. Lee
Dinesh Manocha
Suyong Yeon
73
1
0
28 Feb 2025
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni
Guofeng Zhang
Guanglin Li
Yijin Li
Xinyang Liu
Zhaoyang Huang
Hujun Bao
ViT
63
2
0
30 Oct 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and
  Visual Correspondence
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sung‐Jin Hong
Seokju Cho
Seungryong Kim
Stephen Lin
ViT
51
5
0
17 Mar 2024
Improving Transformer-based Image Matching by Cascaded Capturing
  Spatially Informative Keypoints
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
Chenjie Cao
Yanwei Fu
ViT
28
9
0
06 Mar 2023
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
79
128
0
05 Jan 2021
1