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Metric Convolutions: A Unifying Theory to Adaptive Convolutions

Metric Convolutions: A Unifying Theory to Adaptive Convolutions

8 June 2024
Thomas Dagès
M. Lindenbaum
A. Bruckstein
ArXivPDFHTML

Papers citing "Metric Convolutions: A Unifying Theory to Adaptive Convolutions"

5 / 5 papers shown
Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès
Simon Weber
Ya-Wei Eileen Lin
Ronen Talmon
Daniel Cremers
M. Lindenbaum
A. Bruckstein
Ron Kimmel
44
0
0
23 Mar 2025
Omni-Dimensional Dynamic Convolution
Omni-Dimensional Dynamic Convolution
Chao Li
Aojun Zhou
Anbang Yao
48
228
0
16 Sep 2022
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
293
14,395
0
07 Oct 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
206
7,344
0
05 Jun 2015
Geodesics in Heat
Geodesics in Heat
Keenan Crane
C. Weischedel
M. Wardetzky
57
498
0
24 Apr 2012
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