output
20062026
most citedQuasistatic rheology, force transmission and fabric properties of a packing of irregular polyhedral particles

229 citations

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5 papers · 1 filter

cs.CV2025

Fast and Flexible Robustness Certificates for Semantic Segmentation

Thomas Massena, Corentin Friedrich, Franck Mamalet +1

Deep Neural Networks are vulnerable to small perturbations that can drastically alter their predictions for perceptually unchanged inputs. The literature on adversarially robust De…

cs.CV2025

FusWay: Multimodal hybrid fusion approach. Application to Railway Defect Detection

Alexey Zhukov, Jenny Benois-Pineau, Amira Youssef +3

Multimodal fusion is a multimedia technique that has become popular in the wide range of tasks where image information is accompanied by a signal/audio. The latter may not convey h…

cs.CV2025

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP

Alya Zouzou, Léo andéol, Mélanie Ducoffe +1

We explore the use of conformal prediction to provide statistical uncertainty guarantees for runway detection in vision-based landing systems (VLS). Using fine-tuned YOLOv5 and YOL…

cs.CV2024

Understanding Visual Feature Reliance through the Lens of Complexity

Thomas Fel, Louis Bethune, Andrew Kyle Lampinen +2

Recent studies suggest that deep learning models inductive bias towards favoring simpler features may be one of the sources of shortcut learning. Yet, there has been limited focus…

cs.CV2023★ 1 cited

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

Drew Linsley, Pinyuan Feng, Thibaut Boissin +4

Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to c…