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Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context

Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context

29 November 2023
Shashank Agnihotri
Julia Grabinski
M. Keuper
ArXivPDFHTML

Papers citing "Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context"

12 / 12 papers shown
Title
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Jenny Schmalfuss
Victor Oei
Lukas Mehl
Madlen Bartsch
Shashank Agnihotri
M. Keuper
Andrés Bruhn
14
0
0
14 May 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
M. Keuper
AAML
29
3
0
30 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
M. Keuper
J. Keuper
26
2
0
18 Oct 2024
Beware of Aliases -- Signal Preservation is Crucial for Robust Image
  Restoration
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
Shashank Agnihotri
Julia Grabinski
Janis Keuper
M. Keuper
29
5
0
11 Jun 2024
As large as it gets: Learning infinitely large Filters via Neural
  Implicit Functions in the Fourier Domain
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
Julia Grabinski
J. Keuper
M. Keuper
14
6
0
19 Jul 2023
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific
  Camera Parameters
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
Hendrik Sommerhoff
Shashank Agnihotri
Mohamed Saleh
Michael Moeller
M. Keuper
A. Kolb
3DV
35
6
0
28 Apr 2023
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
513
0
06 Dec 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring
  and Activation Function
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
41
13
0
03 Oct 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,163
0
16 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,595
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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