Publications associées à Segmentation-driven 6D Object Pose Estimation

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Square Attack: a query-efficient black-box adversarial attack via random search

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko, Francesco Croce

We propose the Square Attack, a new score-based black-box

l_2

and

l_\infty

adversarial attack that does not rely on local gradient information and thus is not affected by gradient masking. The Square Attack is based on a randomized search scheme where ...

2020

Segmentation-driven 6D Object Pose Estimation

Graph Chatbot

Chattez avec Graph Search

Adaptive hot water production based on Supervised Learning

Single-Stage 6D Object Pose Estimation

Bayesian modeling of brain function and behavior

Shape Reconstruction by Learning Differentiable Surface Representations

Square Attack: a query-efficient black-box adversarial attack via random search

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

On Certifying Non-Uniform Bounds against Adversarial Attacks

Geometry of adversarial robustness of deep networks: methods and applications

Context-Aware Crowd Counting

Exploring Factors for Improving Low Resolution Face Recognition

Adaptive hot water production based on Supervised Learning

Single-Stage 6D Object Pose Estimation

Bayesian modeling of brain function and behavior

Square Attack: a query-efficient black-box adversarial attack via random search

Shape Reconstruction by Learning Differentiable Surface Representations

On Certifying Non-Uniform Bounds against Adversarial Attacks

Geometry of adversarial robustness of deep networks: methods and applications

Context-Aware Crowd Counting

Exploring Factors for Improving Low Resolution Face Recognition

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism