Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations-Reference-Cited by-同舟云学术

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Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations

Published:2022-11 Issue: Volume:155 Page:119-143
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Sakai Akira^ORCID,Sunagawa Taro^ORCID,Madan Spandan^ORCID,Suzuki Kanata^ORCID,Katoh Takashi,Kobashi Hiromichi,Pfister Hanspeter^ORCID,Sinha Pawan,Boix Xavier^ORCID,Sasaki Tomotake^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference66 articles.

1. TensorFlow: A system for large-scale machine learning;Abadi,2016

2. Systematic generalisation with group invariant predictions;Ahmed,2021

3. Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects;Alcorn,2019

4. NeMo: Neural mesh models of contrastive features for robust 3D pose estimation;Angtian,2021

5. On invariance and selectivity in representation learning;Anselmi;Information and Inference: A Journal of the IMA,2016

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