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How Robust are Discriminatively Trained Zero-Shot Learning Models?
v1v2 (latest)

How Robust are Discriminatively Trained Zero-Shot Learning Models?

Image and Vision Computing (IVC), 2022
26 January 2022
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
ArXiv (abs)PDFHTML

Papers citing "How Robust are Discriminatively Trained Zero-Shot Learning Models?"

4 / 4 papers shown
Title
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces
Evangelos Skartados
M. K. Yucel
Bruno Manganelli
Anastasios Drosou
Albert Saà-Garriga
190
6
0
07 Mar 2024
A Modular System for Enhanced Robustness of Multimedia Understanding
  Networks via Deep Parametric Estimation
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation
F. Barbato
Umberto Michieli
Mehmet Karim Yucel
Pietro Zanuttigh
Mete Ozay
298
2
0
28 Feb 2024
HybridAugment++: Unified Frequency Spectra Perturbations for Model
  Robustness
HybridAugment++: Unified Frequency Spectra Perturbations for Model RobustnessIEEE International Conference on Computer Vision (ICCV), 2023
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
195
13
0
21 Jul 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness
Language-Driven Anchors for Zero-Shot Adversarial RobustnessComputer Vision and Pattern Recognition (CVPR), 2023
Xiao-Li Li
Wei Emma Zhang
Yining Liu
Zhan Hu
Bo Zhang
Xiaolin Hu
248
19
0
30 Jan 2023
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