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Learning Cross-Spectral Point Features with Task-Oriented Training
v1v2 (latest)

Learning Cross-Spectral Point Features with Task-Oriented Training

19 May 2025
Mia Thomas
Trevor Ablett
Jonathan Kelly
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Learning Cross-Spectral Point Features with Task-Oriented Training"

9 / 9 papers shown
Title
XPoint: A Self-Supervised Visual-State-Space based Architecture for
  Multispectral Image Registration
XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration
Ismail Can Yagmur
H. Ateş
B. Gunturk
3DPC
26
1
0
11 Nov 2024
ReDFeat: Recoupling Detection and Description for Multimodal Feature
  Learning
ReDFeat: Recoupling Detection and Description for Multimodal Feature Learning
Yu-Chih Deng
Jiayi Ma
89
57
0
16 May 2022
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual
  Localization
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization
Mona Gridseth
Timothy D. Barfoot
SSL
135
29
0
09 Sep 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
649
42,859
0
03 Dec 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local
  Features
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu
Ignacio Rocco
Tomas Pajdla
Marc Pollefeys
Josef Sivic
Akihiko Torii
Torsten Sattler
78
697
0
09 May 2019
Understanding the Limitations of CNN-based Absolute Camera Pose
  Regression
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Torsten Sattler
Qunjie Zhou
Marc Pollefeys
Laura Leal-Taixe
SSL
91
387
0
18 Mar 2019
SuperPoint: Self-Supervised Interest Point Detection and Description
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
174
2,502
0
20 Dec 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,696
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
2.0K
100,817
0
04 Sep 2014
1