Learning Rotation Equivariant Features For

Media Summary: Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: Work aims to explore This talk is concerned with a fundamental problem in geometric deep

Learning Rotation Equivariant Features For - Detailed Analysis & Overview

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: Work aims to explore This talk is concerned with a fundamental problem in geometric deep ECCV 2018 Authors: Nichita Diaconu*, Daniel E. Worrall* Paper: Code: ... [ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration In this work, we propose a new Convolutional Neural Network (CNN) for classification of rotated objects. This network is capable ...

Speaker: Robin WINTER (Bayer, USA) Young Researchers' Workshop on Machine

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Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)

CSC2547 CNNs on Surfaces using Rotation Equivariant Features

Equivariant Neural Networks | Part 1/3 - Introduction

Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019

ReF - Rotation Equivariant Features for Local Feature Matching

Equivariant Neural Networks

CNNs on Surfaces using Rotation-equivariant Features

CubeNet: Equivariance to 3D Rotation and Translation

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

Rotation Equivariant Deep Neural Network (RED-NN)

Equivariant Machine Learning Structured Like Classical Physics

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Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)

Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)

Learning Rotation

CSC2547 CNNs on Surfaces using Rotation Equivariant Features

CSC2547 CNNs on Surfaces using Rotation Equivariant Features

Title: CNNs on Surfaces using

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: https://fabianfuchsml.github.io/equivariance1of2/ Deep

Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019

Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019

Rotation equivariant

ReF - Rotation Equivariant Features for Local Feature Matching

ReF - Rotation Equivariant Features for Local Feature Matching

Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: https://arxiv.org/abs/2203.05206 Work aims to explore

Equivariant Neural Networks

Equivariant Neural Networks

Link to the presentation: ...

CNNs on Surfaces using Rotation-equivariant Features

CNNs on Surfaces using Rotation-equivariant Features

This talk is concerned with a fundamental problem in geometric deep

CubeNet: Equivariance to 3D Rotation and Translation

CubeNet: Equivariance to 3D Rotation and Translation

ECCV 2018 Authors: Nichita Diaconu*, Daniel E. Worrall* Paper: https://arxiv.org/abs/1804.04458 Code: ...

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

Rotation

Rotation Equivariant Deep Neural Network (RED-NN)

Rotation Equivariant Deep Neural Network (RED-NN)

In this work, we propose a new Convolutional Neural Network (CNN) for classification of rotated objects. This network is capable ...

Equivariant Machine Learning Structured Like Classical Physics

Equivariant Machine Learning Structured Like Classical Physics

Soledad Villar (Johns Hopkins) https://simons.berkeley.edu/talks/

Unsupervised Learning of Group Invariant and Equivariant Representations...

Unsupervised Learning of Group Invariant and Equivariant Representations...

Speaker: Robin WINTER (Bayer, USA) Young Researchers' Workshop on Machine