Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

20 October 2021

Papers citing "Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs"

7 / 7 papers shown

Title
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness Lucas Piper Arlindo L. Oliveira Tiago Marques 25 1 0 25 Sep 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 31 5 0 11 Mar 2024
Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends Ruxandra Bărbulescu Tiago Marques Arlindo L. Oliveira OOD AAML 11 1 0 16 Oct 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 19 1 0 15 Jun 2023
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 19 10 0 17 Oct 2022
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 187 473 0 12 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016