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57 papers · 1 filter
AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors
Maher Boughdiri, Mounira Msahli, Albert Bifet
Deep neural networks (DNNs) have shown outstanding performance in visual recognition tasks within vision sensor networks; however, they are still vulnerable to adversarial manipula…
On the explainability of max-plus neural networks
Ikhlas Enaieh, Olivier Fercoq, García Ángel
We investigate the explanability properties of the recently proposed linear-min-max neural networks. At initialization, they can be interpreted as k-medoids with the infinity norm…
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
E. Sarfati, A. Bône, M-M. Rohé +4
Hepatocellular carcinoma is the most spread primary liver cancer across the world (80\% of the liver tumors). The gold standard for HCC diagnosis is liver biopsy. However, in…
Double InfoGAN for Contrastive Analysis
Florence Carton, Robin Louiset, Pietro Gori
Contrastive Analysis (CA) deals with the discovery of what is common and what is distinctive of a target domain compared to a background one. This is of great interest in many appl…
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Yasser Benigmim, Subhankar Roy, Slim Essid +2
Domain Generalized Semantic Segmentation (DGSS) deals with training a model on a labeled source domain with the aim of generalizing to unseen domains during inference. Existing DGS…
Infusion: internal diffusion for inpainting of dynamic textures and complex motion
Nicolas Cherel, Andrés Almansa, Yann Gousseau +1
Video inpainting is the task of filling a region in a video in a visually convincing manner. It is very challenging due to the high dimensionality of the data and the temporal cons…