ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.00899
  4. Cited By
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

3 October 2021
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
ArXivPDFHTML

Papers citing "Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function"

4 / 4 papers shown
Title
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
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial
  Activations
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
H. Michaeli
T. Michaeli
Daniel Soudry
19
14
0
14 Mar 2023
Impact of Aliasing on Generalization in Deep Convolutional Networks
Impact of Aliasing on Generalization in Deep Convolutional Networks
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Rob Romijnders
Nicolas Le Roux
Ross Goroshin
OOD
66
33
0
07 Aug 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
209
232
0
16 Mar 2020
1