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Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers

Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers

6 May 2024
Johann Schmidt
Sebastian Stober
ArXivPDFHTML

Papers citing "Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers"

14 / 14 papers shown
Title
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
48
19
0
15 Dec 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial
  Mental Rotation
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
Lukas Tuggener
Thilo Stadelmann
Jürgen Schmidhuber
OOD
28
1
0
14 Nov 2023
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
81
412
0
25 Mar 2022
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
191
1,332
0
08 Oct 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
45
94
0
06 Jul 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
58
536
0
06 Dec 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
48
17,950
0
28 May 2019
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
86
192
0
16 Mar 2018
Latent Space Oddity: on the Curvature of Deep Generative Models
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis
Lars Kai Hansen
Søren Hauberg
DRL
71
267
0
31 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
101
8,807
0
25 Aug 2017
Rotation equivariant vector field networks
Rotation equivariant vector field networks
Diego Marcos
Michele Volpi
N. Komodakis
D. Tuia
39
269
0
29 Dec 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
249
7,361
0
05 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
909
39,383
0
01 Sep 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
137
12,384
0
24 Jun 2012
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