Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129254 - 129254
Published: Dec. 1, 2024
Language: Английский
Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129254 - 129254
Published: Dec. 1, 2024
Language: Английский
Neural Networks, Journal Year: 2024, Volume and Issue: 181, P. 106809 - 106809
Published: Oct. 18, 2024
Language: Английский
Citations
1Earth Science Informatics, Journal Year: 2024, Volume and Issue: 17(6), P. 5371 - 5383
Published: Aug. 26, 2024
Language: Английский
Citations
1Technologies, Journal Year: 2024, Volume and Issue: 12(11), P. 220 - 220
Published: Nov. 5, 2024
The adversarial robustness of image quality assessment (IQA) models to attacks is emerging as a critical issue. Adversarial training has been widely used improve the neural networks attacks, but little in-depth research examined way IQA model robustness. This study introduces an enhanced approach tailored models; it adjusts perceptual scores images during enhance correlation between model’s and subjective scores. We also propose new method for comparing by measuring Integral Robustness Score; this evaluates resistance set perturbations with different magnitudes. our increase five models. Additionally, we tested adversarially trained 16 conducted empirical probabilistic estimation feature.
Language: Английский
Citations
0Pattern Recognition, Journal Year: 2024, Volume and Issue: unknown, P. 111198 - 111198
Published: Nov. 1, 2024
Language: Английский
Citations
0Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129254 - 129254
Published: Dec. 1, 2024
Language: Английский
Citations
0